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Díaz López, Daniel, María Blanco Uribe, Claudia Santiago Cely, et al. "Developing Secure IoT Services: A Security-Oriented Review of IoT Platforms." Symmetry 10, no. 12 (2018): 669. http://dx.doi.org/10.3390/sym10120669.
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Undoubtedly, the adoption of the Internet of Things (IoT) paradigm has impacted on our every-day life, surrounding us with smart objects. Thus, the potentialities of this new market attracted the industry, so that many enterprises developed their own IoT platforms aiming at helping IoT services’ developers. In the multitude of possible platforms, selecting the most suitable to implement a specific service is not straightforward, especially from a security perspective. This paper analyzes some of the most prominent proposals in the IoT platforms market-place, performing an in-depth security comparison using five common criteria. These criteria are detailed in sub-criteria, so that they can be used as a baseline for the development of a secure IoT service. Leveraging the knowledge gathered from our in-depth study, both researchers and developers may select the IoT platform which best fits their needs. Additionally, an IoT service for monitoring commercial flights is implemented in two previously analyzed IoT platforms, giving an adequate detail level to represent a solid guideline for future IoT developers.
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Bhagwan Chalke, Vinayak, and Abhijit Banubakode. "Various Cloud platforms in IOT." Journal of IoT Security and Smart Technologies 1, no. 2 (2022): 8–14. http://dx.doi.org/10.46610/jisst.2022.v01i02.002.
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(IoT) being the widespread merging of several “things” simultaneously as using the internet due to the backbone of the communicating devices, installation of an intelligent interaction among the human beings and surrounding objects. As part of the Internet of Things, the cloud is a significant problem that delivers valuable application-specific services across a wide range of application domains. Many IoT cloud providers have already entered the market to utilize proper and unique IoT-based fully unquestionably offerings. Despite the significant potential participation of these IoT clouds, no well-known or comparable analytical studies have been conducted to taken an observation has been determined in the course of the databases. This article examines well-known IoT cloud systems in jointly solving numerous service areas with software program development, device administration. An evaluation is available for the general distribution of IoT clouds based on their applicability.
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Karishma, Hakim, Jangewad Supriya, Maindarkar Priyanka, and T.G Thite. "Review of Software and Hardware IoT Platforms." Journal of Information Technology and Sciences 5, no. 2 (2019): 17–23. https://doi.org/10.5281/zenodo.3192914.
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<strong><em>Abstract</em></strong> <em>The Internet of things (IoT) is a system of interconnected computing devices, mechanical and digital machines, objects, animals or people that are provided with singular identifiers and the ability to transfer data over a network without need humantohuman or human to computer interaction. There are various consumer, commercial, industrial applications of IoT. In this study we have presented short survey of the most popular IoT software and hardware platforms available in market. This platformsis used to create modern IoT projects in startups, scientific projects and other useful devices for smart home, smart city, agriculture etc.</em>
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Kasrin, Nasr, Aboubakr Benabbas, Golnaz Elmamooz, Daniela Nicklas, Simon Steuer, and Michael Sünkel. "Data-sharing markets for integrating IoT data processing functionalities." CCF Transactions on Pervasive Computing and Interaction 3, no. 1 (2021): 76–93. http://dx.doi.org/10.1007/s42486-020-00054-y.
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AbstractThe recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended to smoothly integrate new data management functionalities? Currently, data processing related tasks are typically realized by manually developed code and functions which creates difficulties in maintenance and growth. Hence we need to explore other approaches to integration for IoT platforms. In this paper we cover both these aspects: (1) we explore several emerging data management challenges, and (2) we propose an IoT platform integration model that can combine disparate functionalities under one roof. For the first, we focus on the following challenges: sensor data quality, privacy in data streams, machine learning model management, and resource-aware data management. For the second, we propose an information-integration model for IoT platforms. The model revolves around the concept of a Data-Sharing Market where data management functionalities can share and exchange information about their data with other functionalities. In addition, data-sharing markets themselves can be combined into networks of markets where information flows from one market to another, which creates a web of information exchange about data resources. To motivate this work we present a use-case application in smart cities.
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Berte, Dan-Radu. "Defining the IoT." Proceedings of the International Conference on Business Excellence 12, no. 1 (2018): 118–28. http://dx.doi.org/10.2478/picbe-2018-0013.
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Abstract IoT, or the Internet of Things, has been in use since circa 1999. It defines a next chapter in the evolution of the Internet where computing devices embedded in everyday objects are able to send and receive data themselves. In recent years miniaturization and economies of scale brought a boon of new devices to the consumer and enterprise market, prompting Gartner to predict over 20bln live IoT devices by 2020. However, the definition of IoT is loose and, for the purpose of predicting trends or discussing security, formulating a clear understanding of the term is crucial. In fact, Internet of Things is a term only mostly used by the media, academia and the industry. Customers in the consumer space refer to the technologies by their benefit describing term of “Smart Home”. A quick analysis of this gap shows how it’s entirely possible no knowledge permeates the business and market worlds because of the incompatible terms used. As more devices, OSes and heterogeneous platforms entrench the concept of a new digital lifestyle, the new “Digital Kingdom” opens its doors to radical disruption, such as the latest massive Mirai and Reaper attacks. Our ability to correctly define the IoT, it’s platforms and components, should lead to better market dynamics and better preparedness, as one can’t secure something that can’t be defined. This paper proposes to further understand the IoT by exploring available definitions, reiterating misuse and equivocal perception, concluding with a more suiting, contemporary definition.
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Mamlook, Rustom, Omer F. Khan, and Thabit Sultan Mohammed. "Bridging for cross protocol talk in IOT devices using windows communication foundation." International Journal of Engineering & Technology 7, no. 3.29 (2018): 196. http://dx.doi.org/10.14419/ijet.v7i3.29.18794.
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In the Internet of Things (IoT), multiple communication protocols are used to connect the smart device. Wi-Fi, Xbee, ZigBee, Bluetooth, and LoRaWAN are some of the communication channels utilized for connectivity by devices using some IoT platform.In order to enable the development of smart services for IoT platforms, there are solutions by different vendors to connect between IoT devices. For example, multiple IoT platforms are available in the market namely IoTivity platform developed by Open Connectivity Foundation (OCF), AllJoyn platform from All Seen Alliance, Weave made by Google, and Home Kit by Apple. In view of such segmentation of IoT platforms, IoT Application’s development has been made complex, where IoT device and accompanying application compatibility with available platforms requires support for multiple protocols.To simplify the complexity introduced by multiple platforms, M2M [4] International standard was already proposed as the bridge for integrating IoT protocols. In our paper, we implement a proxy web service using Windows Communication Foundation (WCF) as a way to translate communication in one IoT protocol to another. In our implementation of middleware, we allowed the MQTT broker to accept messages, which were passed, to the Web Service from various devices over Hyper Text Protocol’s POST or GET Commands. Bridging between WCF Web Service and MQTT broker was enabled with duplex communication. Hence, devices supporting either HTTP protocol or MQTT protocol were able to communicate transparently.
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Zaher, Mahmoud A., and Nabil M. Eldakhly. "An effective model for Selection of the best IoT platform: A critical review of challenges and solutions." Journal of Intelligent Systems and Internet of Things 7, no. 2 (2022): 40–50. http://dx.doi.org/10.54216/jisiot.070204.
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The process of making an informed decision on which Internet of Things (IoT) platform to choose is an extremely important one in the modern world. The choice procedure is made more difficult as a result of (a) the vast number of IoT platforms that are offered on the market for IoT applications and (b) the wide diversity of functions and solutions that are provided by these platforms. In this article, the multi-criteria decision-making (MCDM) methodologies for selecting the specific Internet of Things platform are taken into consideration. The TOPSIS method is used in this paper to select the best IoT platform. TOPSIS method is a common MCDM method. TOPSIS method used the idea of the best and cost criteria to compute the distance from it. During the IoT platform choice procedures, relevant aspects, such as the stability, consistency, protection, and privacy of IoT platforms, are regarded to be the most significant ones for making decisions.
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Pasham, Sai Dikshit. "Evaluation of internet of Things Devices and Management tools." International Journal of Engineering and Computer Science 6, no. 3 (2017): 20806–30. https://doi.org/10.18535/ijecs/v6i3.74.
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Abstract— Trade 4.0 with web of Things (IoT) is that the next wave in technology revolution that is predicted to change our daily life. This digitalization has nice impact on all the domains (energy, healthcare, transportation, producing etc.) additionally to the data and Communication Technologies (ICT) sector. In IoT eventualities, various sensors measure and report many phenomena and wide-ranging IoT solutions area unit deployed to gather huge quantity of information. IoT platforms, like Amazon AWS, IBM Watson or Microsoft IoT Suite, are offered to help the event of such services/applications. However, one in all the most important challenges featured by IoT solutions suppliers is that the superintendence and management of the large range of deployed sensors/devices. Presumably, the magnitude and heterogeneousness of the IoT systems makes it troublesome to manage them with typical IT management tools and techniques. New techniques and tools ought to be explored and developed or the standard management solutions ought to be adapted to the new challenges. During this paper, we have a tendency to establish and formulate the essential challenges of IoT device management and supervision, review the particular progressive IoT device management and superintendence techniques and tools obtainable on the market, and in short evaluate their features and typical use cases. Keywords- internet of Things; Device Management; Platforms; Sensors.
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Alfalouji, Qamar, Thomas Schranz, Alexander Kümpel, et al. "IoT Middleware Platforms for Smart Energy Systems: An Empirical Expert Survey." Buildings 12, no. 5 (2022): 526. http://dx.doi.org/10.3390/buildings12050526.
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Middleware platforms are key technology in any Internet of Things (IoT) system, considering their role in managing the intermediary communications between devices and applications. In the energy sector, it has been shown that IoT devices enable the integration of all network assets to one large distributed system. This comes with significant benefits, such as improving energy efficiency, boosting the generation of renewable energy, reducing maintenance costs and increasing comfort. Various existing IoT middlware solutions encounter several problems that limit their performance, such as vendor locks. Hence, this paper presents a literature review and an expert survey on IoT middleware platforms in energy systems, in order to provide a set of tools and functionalities to be supported by any future efficient, flexible and interoperable IoT middleware considering the market needs. The analysis of the results shows that experts currently use the IoT middleware mainly to deploy services such as visualization, monitoring and benchmarking of energy consumption, and energy optimization is considered as a future application to target. Likewise, non-functional requirements, such as security and privacy, play vital roles in the IoT platforms’ performances.
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Lanza, Jorge, Luis Sánchez, David Gómez, Juan Ramón Santana, and Pablo Sotres. "A Semantic-Enabled Platform for Realizing an Interoperable Web of Things." Sensors 19, no. 4 (2019): 869. http://dx.doi.org/10.3390/s19040869.
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Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services and applications. This paper presents a platform that has been implemented for realizing this vision. It leverages semantic web technologies to address the two key challenges in expanding the IoT beyond product silos into web-scale open ecosystems: data interoperability and resources identification and discovery. The paper provides extensive description of the proposed solution and its implementation details. Regarding the implementation details, it is important to highlight that the platform described in this paper is currently supporting the federation of eleven IoT deployments (from heterogeneous application domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.
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Lanza, Jorge, Luis Sánchez, David Gómez, Juan Ramón Santana, and Pablo Sotres. "A Semantic-Enabled Platform for Realizing an Interoperable Web of Things." Sensors 19 (February 15, 2019): 869. https://doi.org/10.3390/s19040869.
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Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services and applications. This paper presents a platform that has been implemented for realizing this vision. It leverages semantic web technologies to address the two key challenges in expanding the IoT beyond product silos into web-scale open ecosystems: data interoperability and resources identification and discovery. The paper provides extensive description of the proposed solution and its implementation details. Regarding the implementation details, it is important to highlight that the platform described in this paper is currently supporting the federation of eleven IoT deployments (from heterogeneous application domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.
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Gadi, Anil Lokesh. "Enhancing Vehicle Lifecycle Management through Integrated Data Platforms and IoT Connectivity." International Journal of Engineering and Computer Science 8, no. 12 (2019): 24973–92. https://doi.org/10.18535/ijecs.v8i12.4443.
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The automotive business has transitioned from analogue to digital and is predicted to undergo an even bigger transformation, thanks to developments in digitalisation, artificial intelligence, and the Internet of Things (IoT). Comprehensive digital ecosystems will be developed by networks that comprehensively link vehicles, technology, services, and people with both external and internal environments. In these ecosystems, navigating the three-dimensional (3D) open space of vehicle, technology, service, and demand involvement will produce commercial values using digital twins and data and service platforms to signify investment return and technology selection across system capability, acceptability, and adaptability. By providing an integrated data platform and connection with IoT to bolster vehicle lifecycle management, a model with indicated objectives, landscapes, components, approaches, and supporting structures is proposed and illustrated. Additionally, the value empowerment of consumers leveraging the proposed model is discussed. An integrated data platform and connection with IoT must enable robust vehicle lifecycle management by deriving operational service use and condition parameters connected with owners, managers, and highways. The extensive interlinkages among vehicles, IoT components, and data and service components within the holistic digital ecosystem must be resolved for this purpose. The procedures to integrate all data and service components must be outlined, including crucial data management techniques for feature engineering, data cleansing, data enriching, and data refilling. Then, vehicle lifecycle management perspectives by data and service components are discussed, including insights into proactive in-market service design, dynamic from market service reconfiguration, robust operation support service design, and future out-of-market disruption identification. Central issues in vehicle lifecycle management, including design strategy, planning model and approach, service design strategy, and management approach, are considered following this. The overall landscape of the proposals and corresponding prospects is illustrated. Finally, industrial input and development is presented, notably the ultimate reference model for the holistic digital ecosystem, and threats, challenges, and future scope of research are discussed.
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Partida, Alberto, Regino Criado, and Miguel Romance. "Identity and Access Management Resilience against Intentional Risk for Blockchain-Based IOT Platforms." Electronics 10, no. 4 (2021): 378. http://dx.doi.org/10.3390/electronics10040378.
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Some Internet of Things (IoT) platforms use blockchain to transport data. The value proposition of IoT is the connection to the Internet of a myriad of devices that provide and exchange data to improve people’s lives and add value to industries. The blockchain technology transfers data and value in an immutable and decentralised fashion. Security, composed of both non-intentional and intentional risk management, is a fundamental design requirement for both IoT and blockchain. We study how blockchain answers some of the IoT security requirements with a focus on intentional risk. The review of a sample of security incidents impacting public blockchains confirm that identity and access management (IAM) is a key security requirement to build resilience against intentional risk. This fact is also applicable to IoT solutions built on a blockchain. We compare the two IoT platforms based on public permissionless distributed ledgers with the highest market capitalisation: IOTA, run on an alternative to a blockchain, which is a directed acyclic graph (DAG); and IoTeX, its contender, built on a blockchain. Our objective is to discover how we can create IAM resilience against intentional risk in these IoT platforms. For that, we turn to complex network theory: a tool to describe and compare systems with many participants. We conclude that IoTeX and possibly IOTA transaction networks are scale-free. As both platforms are vulnerable to attacks, they require resilience against intentional risk. In the case of IoTeX, DIoTA provides a resilient IAM solution. Furthermore, we suggest that resilience against intentional risk requires an IAM concept that transcends a single blockchain. Only with the interplay of edge and global ledgers can we obtain data integrity in a multi-vendor and multi-purpose IoT network.
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Goyal, Tarun, Rakesh Rathi, Vinesh Kumar Jain, Emmanuel Shubhakar Pilli, and Arka Prokash Mazumdar. "Big Data Handling Over Cloud for Internet of Things." International Journal of Information Technology and Web Engineering 13, no. 2 (2018): 37–47. http://dx.doi.org/10.4018/ijitwe.2018040104.
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In this article, the authors have discussed about the connection between Internet of Things and growth of big data. They have also discussed short reference on the evolution, features, lifecycle, and implementation of Big Data from IoT over the cloud. Internet of Things represents a platform or environment that consists of enormous number of sensors and mediators interconnecting heterogeneous physical devices over the internet. IoT applications are available in many real-world areas such as smart city, smart workplace, smart home, smart transportation and various other ubiquitous computing areas. Using IoT applications generates tremendous amount of data for storage and management in the internet. With the time and research evolution integration of the IoT platforms and cloud comes in the market and IoT platforms data storage and management started shifting to the cloud from the internet connected physical systems for many real-world application areas. Meanwhile when this data becomes huge termed as Big Data. Handling of Big Data over the cloud develops many new areas of research and attention.
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K, Samson Paul, Ateeq Ahmed H, and Emmanuel Raju A. "MEASURING PERFORMANCE OF DATABASE SYSTEMS FOR APPLICATIONS OF IOT." International Journal of Engineering Technology and Management Sciences 4, no. 5 (2020): 49–52. http://dx.doi.org/10.46647/ijetms.2020.v04i05.009.
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Choosing the right database platform(s) for IoT solutions is daunting. First, IoT solutions can be distributed across geographical regions. As opposed to a centralized cloud-based solution, more solutions are adopting a combination of fog computing at the edge and cloud computing. As such, your database platforms must offer you the flexibility to process the data at the edge and synchronize between the edge servers and the cloud. Second, depending on your IoT use cases, the capabilities you want in your database could range from real-time data streaming, data filtering and aggregation, near-zero latency read operations, instant analytics, high availability, geo distribution, schema flexibility and so on. This article walks you through the four steps in choosing the right database platforms for your IoT solutions. The amount of data stored in IoT databases increases as the IoT applications extend throughout smart city appliances, industry and agriculture. Contemporary database systems must process huge amounts of sensory and actuator data in real-time or interactively. Facing this first wave of IoT revolution, database vendors struggle day-by-day in order to gain more market share, develop new capabilities and attempt to overcome the disadvantages of previous releases, while providing features for the IoT.
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De Nardis, Luca, Alireza Mohammadpour, Giuseppe Caso, Usman Ali, and Maria-Gabriella Di Benedetto. "Internet of Things Platforms for Academic Research and Development: A Critical Review." Applied Sciences 12, no. 4 (2022): 2172. http://dx.doi.org/10.3390/app12042172.
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Tens of different IoT platforms are currently available on the market as a result of the high interest in IoT, characterized by very different characteristics in terms of utilization models, features and availability. This paper provides a review of existing platforms, both adopting a closed source and an open source access model, focusing on five evaluation criteria: communication protocols, data visualization, data processing, integration with external services and security. Afterward, the paper focuses on ten open source platforms, that are deemed more suitable for research and development activities in academia, and provides an evaluation of such platforms according to the five criteria previously defined, combined with two criteria specific to open source platforms: installation procedure and documentation. The evaluation indicates that the FIWARE platform is the best suited platform when taking into account the combination of the seven criteria; other platforms might, however, be preferred, depending on the context, thanks to specific features such as native support for a programming language, or ease and flexibility in the installation procedure.
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ПАВЛОВА, А. А., Д. А. ЦИВДИНОВА, Б. А. ЧИЛГИРОВ, et al. "OVERVIEW OF THE INTERNATIONAL DISTRIBUTED COMPUTING MARKET AND DATA STORAGE (CLOUD STORAGE)." Экономика и предпринимательство, no. 1(162) (February 11, 2024): 562–66. http://dx.doi.org/10.34925/eip.2024.162.1.105.
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В данной статье авторами проведен обзор международного рынка распределенных вычислений и хранилищ данных (облачное хранение). Рассмотрены принцип распределенных вычислений и ориентированные на них технологии и платформы, такие как облачные вычисления, блокчейн, грид-вычисления, микросервисы, интернет вещей (IoT). На основе проведенного исследования авторами определены ключевые факторы влияющие на рост рынка облачных хранилищ данных. In this article, the authors reviewed the international market for distributed computing and data storage (cloud storage). The principle of distributed computing and technologies and platforms oriented towards it, such as cloud computing, blockchain, grid computing, microservices, and the Internet of Things (IoT), are considered. Based on the research, the authors identified the key factors influencing the growth of the cloud data storage market.
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Daghmehchi Firoozjaei, Mahdi, Ali Ghorbani, Hyoungshick Kim, and JaeSeung Song. "Hy-Bridge: A Hybrid Blockchain for Privacy-Preserving and Trustful Energy Transactions in Internet-of-Things Platforms." Sensors 20, no. 3 (2020): 928. http://dx.doi.org/10.3390/s20030928.
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In the current centralized IoT ecosystems, all financial transactions are routed through IoT platform providers. The security and privacy issues are inevitable with an untrusted or compromised IoT platform provider. To address these issues, we propose Hy-Bridge, a hybrid blockchain-based billing and charging framework. In Hy-Bridge, the IoT platform provider plays no proxy role, and IoT users can securely and efficiently share a credit with other users. The trustful end-to-end functionality of blockchain helps us to provide accountability and reliability features in IoT transactions. Furthermore, with the blockchain-distributed consensus, we provide a credit-sharing feature for IoT users in the energy and utility market. To provide this feature, we introduce a local block framework for service management in the credit-sharing group. To preserve the IoT users’ privacy and avoid any information leakage to the main blockchain, an interconnection position, called bridge, is introduced to isolate IoT users’ peer-to-peer transactions and link the main blockchain to its subnetwork blockchain(s) in a hybrid model. To this end, a k-anonymity protection is performed on the bridge. To evaluate the performance of the introduced hybrid blockchain-based billing and charging, we simulated the energy use case scenario using Hy-Bridge. Our simulation results show that Hy-Bridge could protect user privacy with an acceptable level of information loss and CPU and memory usage.
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Sameer, Alani, Nozad Mahmood Sarmad, Nozad Mahmood Sarmad, Sameer Mhmood Haneen, Abdulsattar Khudhur Zeena, and Amer Dhannoon Azzam. "IoT based implemented comparison analysis of two well-known network platforms for smart home automation." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 442–50. https://doi.org/10.11591/ijece.v11i1.pp442-450.
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The developments of the internet of things (IoT) technologies fascinated the universe and provided great opportunities to introduce these innovations in smart house networks. Smart home automation is highly required these days. Smart home automation is a collection of electronic devices connected to monitor and control in the market home appliance remotely. However, it is still needed to design a friendly and reliable system since the system mainly depends on the devices used and the environment of the network. NETPI and BLYNK are IoT frameworks used for hardware-agnostic with smartphones, websites, private clouds, system security, data mining, and deep learning. The results confirmed that NETPI provides flexibility to deal with several NODEMCU controllers in a single control framework. The proposed system shows its applicability in monitoring and controlling home appliances remotely.
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Abhaykumar Dalsaniya. "Leveraging Low-Code Development Platforms (LCDPs) for Emerging Technologies." World Journal of Advanced Research and Reviews 13, no. 2 (2022): 547–61. http://dx.doi.org/10.30574/wjarr.2022.13.2.0127.
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Low code development platforms (LCDPs) are completely transforming how software applications are built because anyone with little experience in code development can build complex software solutions quickly. This research seeks opportunities for LCDPs to be optimized to improve the uptake and deployment of modern technologies, including AI, IoT, and Blockchain. Although innovative, these technologies bring hardships to traditional software development since they are complex and hungry for resources. LCDPs solve the problem because they take less time, are more flexible, don’t cost as much as traditional development programs, and make new technologies accessible to even more firms and people with ideas. For this paper, LCDPs’ main benefits are highlighted as follows: time to market advantage, development advantages, and accessibility to technology. Employing case studies in its analysis, the study reviews how LCDPs are applied in AI, IoT, and Blockchain projects to understand their efficiency. The evidence shows that LCDPs are altering the software development process and are also the enablers of future technological solutions.
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Samsumar, Lalu Delsi, Lale Puspita Kembang, Ardiyallah Akbar, Sriasih Sriasih, Zaenudin Zaenudin, and Amiruddin Kalbuadi. "IoT Innovation and Entrepreneurship Education: Sustainable Tilapia Cultivation Optimization Strategy." Unram Journal of Community Service 5, no. 4 (2024): 390–94. https://doi.org/10.29303/ujcs.v5i4.781.
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Tilapia cultivation in Teratak Village, Central Lombok, faces problems in feed efficiency and limited market access. Lack of automation technology causes feed waste, while limited marketing knowledge limits farmers' competitiveness. This community service activity aims to overcome these problems through the application of Internet of Things (IoT) technology in the form of automatic feeders (smart feeders) and entrepreneurship training focused on digital marketing. The methods applied include the manufacture and installation of smart fish feeders that are controlled via an application to regulate the amount and frequency of feed. In addition, entrepreneurship training focuses on digital marketing strategies through social media and e-commerce platforms to expand market reach. The results of the activity show that smart feeders increase feed efficiency by up to 20%, reduce waste, and support more optimal fish growth. Digital marketing training helps farmers improve their online promotion skills, expand market networks, and significantly increase sales. In conclusion, the application of IoT technology and digital marketing-based entrepreneurship training has proven effective in increasing the efficiency of cultivation and market competitiveness of tilapia farmers in Teratak Village
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Popovska, Hristina Dimova, Tome Dimovski, and Filip Popovski. "The Role of Cloud Providers in IoT Services." International Journal of Computer Science and Information Technology 16, no. 4 (2024): 85–95. http://dx.doi.org/10.5121/ijcsit.2024.16407.
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Cloud providers play a key role in IoT services, as they provide the necessary infrastructure, platforms, and services to connect and manage IoT devices and applications. Simply Cloud providers offer These Cloud providers a scalable and flexible computing environment that allows IoT devices to communicate with each other, process data and securely store information. There are several Cloud providers in the market that offer IoT-specific solutions and services such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud, and Alibaba Cloud. These Cloud Providers offer a range of services specific to IoT, data analytics, and security. This paper compares four Cloud providers, and their advantages and disadvantages. The development of the four Cloud providers and their trends in historical development are also presented with the help of graphs. Finally, a model was created based on three criteria: services, security and big data processing.
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Castillo-Cara, Manuel, Edgar Huaranga-Junco, Milner Quispe-Montesinos, Luis Orozco-Barbosa, and Enrique Arias Antúnez. "FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms." Journal of Sensors 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/3406858.
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Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms.
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Karthik, Hosavaranchi Puttaraju. "Redefining Outdoor IoT and Business Model: Creating a Unified, AI Ecosystem for Pools and Backyards Systems." Journal of Scientific and Engineering Research 7, no. 8 (2020): 266–73. https://doi.org/10.5281/zenodo.14274439.
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The Internet of Things (IoT) has revolutionized home automation, but its application in pools and backyards remains fragmented and limited. This paper proposes a unified, AI-driven IoT ecosystem for pools and backyards to enhance user experience, optimize energy efficiency, and drive industry growth. The current challenges, such as standalone devices, connectivity issues, and harsh outdoor conditions, are addressed through emerging technologies like edge computing, LoRaWAN, and data analytics. The proposed conceptual framework comprises a centralized communication hub, IoT sensors, individual systems, and user interfaces. Integrating AI and machine learning enables sophisticated automation, predictive maintenance, and personalized user experiences. The technical architecture emphasizes sensor network design, cloud integration, data processing, and hardware durability. A case study on smart pool and light management systems demonstrates the potential benefits of the proposed ecosystem. The economic and environmental impact analysis highlights cost savings, increased market size, and improved sustainability. The paper concludes by emphasizing the importance of adopting open platforms and standards for cross-device communication, innovation, and industry growth. Companies that embrace this unified IoT framework early will be well-positioned to lead the market and create new revenue models while contributing to a more sustainable outdoor environment.
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Kukreja,, Dr Mansi. "Smart Casa: Transforming India's Residential Landscape through IoT & Automation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41781.
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The food delivery market has seen a radical shift with the introduction of online platforms, in response to growing demands for convenience, diversity, and customized dining experiences. This research paper discusses the innovative business model of FUDZY, an all-inclusive food delivery platform that exceeds traditional services through scheduled deliveries, catering services, and customized chef experiences. The research explores the market forces, operational strategy, and financial viability of FUDZY, emphasizing its distinct value proposition within a changing competitive environment. Through the examination of consumer behavior, technological changes, and service differentiation, this paper seeks to explore FUDZY's potential to transform the food delivery business. The study emphasizes operational effectiveness, customer satisfaction, and business scalability, analyzing the extent to which FUDZY complies with changing market trends and technological developments in the food-tech industry. The research indicates that by leveraging cutting-edge AI-based suggestions, smooth logistics, and a customer-first philosophy, FUDZY can overcome key industry pain points. Moreover, financial projections show the long-term viability and investment prospect for the platform, thus a feasible solution for contemporary food delivery problems.
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MacCrory, Frank, and Evangelos Katsamakas. "Competition of multiplatform firms: Implications for the Internet of Things." PLOS ONE 19, no. 5 (2024): e0300522. http://dx.doi.org/10.1371/journal.pone.0300522.
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The Internet of Things (IoT) technology trend is transforming business and society. This creates a need to understand strategic behavior in the consumer IoT, where firms tend to offer multiple platform devices, and new generations of devices are introduced frequently. We propose a novel analytical model that formalizes the concept of a multiplatform firm that offers a system of platforms, such as a smartphone, and a new platform device, such as a smartwatch, and orchestrates a multiplatform ecosystem. The analysis shows how a platform design decision, like offering a new standalone device, affects consumer choices and market outcomes. We identify two classes of new devices that matter, and show when a new platform device may disrupt the smartphone market. Moreover, we characterize conditions under which it is profitable for a vendor to make its new platform device look and feel more like its smartphone. Overall, we provide insights into how multiplatform firms differ from platform firms. We identify future research opportunities on the economics of consumer IoT and multiplatform ecosystems.
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Endres, Creciana Maria, Crivian Pelisser, Doglas André Finco, Maristela Schleicher Silveira, and Valério Junior Piana. "IoT and Raspberry Pi application in the food industry: a systematic review." Research, Society and Development 11, no. 1 (2022): e0411124270. http://dx.doi.org/10.33448/rsd-v11i1.24270.
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The Industry 4.0 technologies are in ascension in the worldwide market, in Brazil still needs to be explored. It was made a Systematic Review to measure the application of IoT in the food industry. Some platforms were used to select works, applying the string “IoT AND Raspberry Pi AND Cheese”. It was possible to evidence the majority of IoT applications in the food industry, focus on the control of temperature, humidity, color, traceability of productive chain, and enlargement of sustainability in the food industry. The most difficulties faced in the conventional application of IoT are related to the high cost of proprietary arquitectures, qualified manpower and obstacles of data security implementation. There are alternatives that aim to reduce the costs of implementation, like the utilization of Raspberry Pi. The food industry presents potential application of technologies that aim for the quality of products, being an excellent opportunity.
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Alani, Sameer, Sarmad Nozad Mahmood, Sarah Zaeead Attaallah, Haneen Sameer Mhmood, Zeena Abdulsattar Khudhur, and Azzam Amer Dhannoon. "IoT based implemented comparison analysis of two well-known network platforms for smart home automation." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 442. http://dx.doi.org/10.11591/ijece.v11i1.pp442-450.
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The developments of the internet of things (IoT) technologies fascinated the universe and provided great opportunities to introduce these innovations in smart house networks. Smart home automation is highly required these days. Smart home automation is a collection of electronic devices connected to monitor and control in the market home appliance remotely. However, it is still needed to design a friendly and reliable system since the system mainly depends on the devices used and the environment of the network. NETPI and BLYNK are IoT frameworks used for hardware-agnostic with smartphones, websites, private clouds, system security, data mining, and deep learning. The results confirmed that NETPI provides flexibility to deal with several NODEMCU controllers in a single control framework. The proposed system shows its applicability in monitoring and controlling home appliances remotely.
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Makarova, Aleksandra Igorevna, Meri Amiranovna Valishvili, Alexey Alexeevich Shestemirov, Vladimir Sergeevich Bereznyakovskiy, and Natalia Grigoryevna Bondarenko. "Blockchain impact on the B2B sales market." LAPLAGE EM REVISTA 7, Extra-D (2021): 200–207. http://dx.doi.org/10.24115/s2446-622020217extra-d1086p.200-207.
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Advances in ICT, such as the Internet, have led to the development of electronic marketplaces for business (B2B) where different sides of the market come into contact with each other. However, despite technological innovation, e-B2B sales markets still suffer from various problems inherited from traditional exchanges. The purpose of this study is to determine the blockchain impact on the B2B sales market when introducing a new generation of blockchain-based B2B platforms. The study presents approaches to the concept of a blockchain-based B2B trading platform. The problems in the traditional electronic B2B sales market, as well as the possibilities of blockchain-based B2B trading platforms in solving the problems of existing B2B markets, are identified. The authors determine that blockchain-based B2B trading platforms eliminate various problems that are currently damaging the B2B sales market worldwide and should have a positive impact.
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Noor, Laili Ismail, Kassim Murizah, Ismail Mahamod, and Mohamad Roslina. "A Review of Low Power Wide Area Technology in Licensed and Unlicensed Spectrum for IoT Use Cases." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 183–90. https://doi.org/10.11591/eei.v7i2.1174.
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There are many platforms in licensed and license free spectrum that support LPWA (low power wide area) technology in the current markets. However, lack of standardization of the different platforms can be a challenge for an interoperable IoT environment. Therefore understanding the features of each technology platform is essential to be able to differentiate how the technology can be matched to a specific IoT application profile. This paper provides an analysis of LPWA underlying technology in licensed and unlicensed spectrum by means of literature review and comparative assessment of Sigfox, LoRa, NB-IoT and LTE-M. We review their technical aspect and discussed the pros and cons in terms of their technical and other deployment features. General IoT application requirements is also presented and linked to the deployment factors to give an insight of how different applications profiles is associated to the right technology platform, thus provide a simple guideline on how to match a specific application profile with the best fit connectivity features.
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Berte, Dan-Radu. "Improving Internet of Things Vulnerability Disclosure and Coordination." Proceedings of the International Conference on Business Excellence 17, no. 1 (2023): 959–68. http://dx.doi.org/10.2478/picbe-2023-0087.
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Abstract Internet of Things (“IoT”), specifically in the consumer space, describes an environment where consumer devices, connected to the Internet in a smart home, communicate to each other directly or through the cloud. Cheap manufacturing and a fast-growing market brought billions such devices in everyday homes, and consequently new concerns emerged about their security. The complexity added by these new systems, with fragmented in-house hardware and software platforms, have been recently the target of both scrutiny and controversy. When IoT devices get hacked it’s no longer just “script kiddies” and part-time hackers, it’s state actors and national security on the line. Where for PCs there is a robust cybersecurity product market (eg. “antivirus”), the majority of IoT devices in households are designed with little or no regard towards cybersecurity and the typical consumer’s understanding of how to secure these is lacking. Effective ways to safeguard IoT products are bug bounties, programs that offer a financial reward to anyone discovering vulnerabilities, but they are costly and hard to manage, thus usually adopted by more mature companies. All manufacturers can additionally benefit from responsible vulnerability disclosure, or ethical hacking, where researchers attempt to find vulnerabilities for recognition or as a public service. Unfortunately disclosing and coordinating vulnerability research challenges are downplayed. This paper proposes to investigate impact, discuss time considerations, and suggest potential solutions for consumers, companies, and regulators to mitigate and improve IoT vulnerability reporting, fixing and disclosure.
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S, Mrs Latha. "Digital Platforms for Farmer Connectivity." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 7040–46. https://doi.org/10.22214/ijraset.2025.69931.
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Abstract: The agricultural sector faces challenges in connecting small-scale farmers directly with consumers, often leading to inefficiencies, unfair pricing, and lack of transparency. "Farmers Connect" is a cross-platform mobile application designed to bridge this gap by enabling direct transactions between farmers and consumers. The application leverages Flutter for its user interface, while using Google Sheets and Google Apps Script for lightweight and real-time backend data management, eliminating the need for complex server infrastructures. Key features include a profile management system, product listings with pH-based food safety indicators, and the ability for farmers to manage and update product details directly. Customers can easily browse products, check quality indicators, and make informed purchase decisions. The system promotes food safety, enhances transparency, and empowers small-scale farmers by offering fair pricing and a direct market. Future enhancements planned for the platform include IoT-based pH sensors, AI recommendations, secure payment gateways, and blockchain integration, which would enhance scalability, efficiency, and trust within the ecosystem. This paper presents the design, implementation, and potential of "Farmers Connect" as a transformative solution for a more sustainable and equitable agricultural marketplace.
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Peixoto, João Alvarez, André Borin Soares, and Vitor Macedo Ochôa. "Internet das Coisas Industrial: um ensaio de protocolos IoT para manufatura industrial." Revista Eletrônica Científica da UERGS 8, no. 3 (2022): 178–87. http://dx.doi.org/10.21674/2448-0479.83.178-187.
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Em meio às mudanças no mercado de bens e consumo, provocadas pela transformação digital, exige-se que as máquinas de manufaturas sejam mais interativas entre si e com os painéis de monitoramento em nuvem. As conexões via internet das coisas (IoT) promovem este grau de interação e mobilidade desejados. Contudo, o ambiente industrial reivindica melhor confiabilidade e segurança, visto que a Internet das Coisas Industrial (IIoT) apresenta-se com protocolos e plataformas para este fim. Portanto, conhecer as características de protocolos e plataformas, ante a manufatura, adquire importância. O objetivo deste estudo é caracterizar as funcionalidades dos protocolos MQTT, HTTP e CoAP como uma aplicação de manufatura industrial, com painel de monitoramento nas plataformas Adafruit.IO, Tago.IO e Thinger.IO. É proposto um método para a realização de estudos semelhantes, em sistemas de manufatura interativa, com uso de protocolos e plataformas IIoT. Como forma de conexão da máquina com a internet, é utilizado o módulo ESP8266 NodeMCU. Na aplicação, as plataformas IIoT obtiveram resultados muito semelhantes, podendo ser a elas atribuídas o mesmo grau de importância para o estudo. Os protocolos diferenciaram-se, sendo o protocolo MQTT o que melhor respondeu às funcionalidades do sistema de manufatura proposto, ao oferecer sua comunicação assíncrona, sem necessidade de que os equipamentos estejam constantemente interagindo. Já o protocolo HTTP apresentou melhores recursos em APIs, mas sua conexão síncrona demanda uma boa rede de dados em internet. Por fim, o protocolo CoAP apresentou documentação insuficiente para acesso às plataformas e bibliotecas para uso em módulos microcontroladores.
 Palavras-chave: Protocolos; IIoT; plataformas; redes; indústria 4.0; programação.
 Abstract
 Industrial Internet of Things: a trial of IoT protocols for industrial manufacturing
 Changes in the goods and consumption market, caused by digital transformation, require manufacturing machines to be more interactive, with each other and with cloud monitoring panels. Connections via the Internet of Things (IoT) promote this desired degree of interaction and mobility, but the industrial environment demands increased reliability and security. The Industrial Internet of Things (IIoT) presents itself with protocols and platforms for this purpose. Knowing the characteristics of protocols and platforms, facing the desired manufacturing, becomes important. The objective of this study is to characterize the functionalities of the MQTT, HTTP and CoAP protocols in an industrial manufacturing application, with a monitoring panel on the Adafruit.IO, Tago.IO and Thinger.IO platforms. A method is proposed for carrying out similar studies in interactive manufacturing systems, using IIoT protocols and platforms. As a way of connecting the machine to the internet, the ESP8266 NodeMCU module is used. In the developed application, the IIoT platforms obtained very similar results, and they can be attributed the same degree of importance for the study. In the evaluation of the protocols, the MQTT protocol was the one that best met the functionalities of the proposed manufacturing system, providing its asynchronous communication, which does not requires the equipment to be constantly interacting. The HTTP protocol has better features in APIs, but its synchronous connection demands a good data network on the internet. The CoAP protocol presented insufficient documentation available for access to platforms and libraries, for use in microcontroller modules.
 Keywords: Protocols; IIoT; platforms; networks; industry 4.0; programming.
 Resumen
 Internet Industrial de las Cosas: un ensayo de protocolos IoT para la fabricación industrial
 En medio de los cambios en el mercado de bienes y de consumo provocados por la transformación digital, se requiere que las máquinas de fabricación sean más interactivas, tanto entre sí como con los paneles de control en la nube. Las conexiones dela Internet de las Cosas (IoT) promueven este grado deseado de interacción y movilidad, pero el entorno industrial exige una mayor fiabilidad y seguridad. La Internet Industrial de las Cosas (IIoT) se presenta con protocolos y plataformas para este fin. Conocer las características de los protocolos y las plataformas relacionados a la fabricación cobra importancia. El objetivo de este estudio es caracterizar las funcionalidades de los protocolos MQTT, HTTP y CoAP en una aplicación de fabricación industrial, con panel de control en las plataformas Adafruit.IO, Tago.IO y Thinger.IO. Se propone un método para realizar estudios similares, en sistemas de fabricación interactivos, utilizando protocolos y plataformas IIoT. Como forma de conectar la máquina a internet, se utiliza el módulo ESP8266 NodeMCU. En la aplicación, las plataformas IIoT obtuvieron resultados muy similares, pudiendo asignarles el mismo grado de importancia para el estudio. Los protocolos, en cambio, se mostraron diferentes, siendo el MQTT el que mejor respondió a las funcionalidades del sistema de fabricación propuesto, ofreciendo su comunicación asíncrona, no requiriendo que los equipos estén constantemente interactuando. El protocolo HTTP presentaba mejores recursos en las API, pero su conexión sincrónica exige una buena red de datos de internet. Por último, el protocolo CoAP presentó una documentación insuficiente para el acceso a las plataformas y bibliotecas, para su uso en módulos de microcontroladores.
 Palabras clave: Protocolos; IIoT; plataformas; redes; industria 4.0; programa.
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Bányai, Tamás. "From steam to IoT-supported cross-border logistics platforms: The social, economic, and logistical impacts of the industrial revolutions." Advanced Logistic Systems - Theory and Practice 18, no. 4 (2024): 98–110. https://doi.org/10.32971/als.2024.041.
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This paper explores the economic, social, and logistical impacts of the four industrial revolutions, highlighting how each phase of industrialization transformed societies and economies. The analysis covers shifts in production methods, labor dynamics, and market structures that reshaped economic frameworks and influenced wealth distribution, job creation, and industry specialization. Social consequences, including urbanization, migration, and the development of new social classes, are examined to understand the broader implications on family dynamics, labor rights, and quality of life. The study also addresses the critical role of logistical advancements – from steam transportation to digital supply chains – in expanding markets and driving globalization.
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Laili Ismail, Noor, Murizah Kassim, Mahamod Ismail, and Roslina Mohamad. "A Review of Low Power Wide Area Technology in Licensed and Unlicensed Spectrum for IoT Use Cases." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 183–90. http://dx.doi.org/10.11591/eei.v7i2.1174.
Full textAbstract:
There are many platforms in licensed and license free spectrum that support LPWA (low power wide area) technology in the current markets. However, lack of standardization of the different platforms can be a challenge for an interoperable IoT environment. Therefore understanding the features of each technology platform is essential to be able to differentiate how the technology can be matched to a specific IoT application profile. This paper provides an analysis of LPWA underlying technology in licensed and unlicensed spectrum by means of literature review and comparative assessment of Sigfox, LoRa, NB-IoT and LTE-M. We review their technical aspect and discussed the pros and cons in terms of their technical and other deployment features. General IoT application requirements is also presented and linked to the deployment factors to give an insight of how different applications profiles is associated to the right technology platform, thus provide a simple guideline on how to match a specific application profile with the best fit connectivity features.
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Singh, Vivek D., and Sakshi Kachare. "Farmer Procurement Platform." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44342.
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Efficient procurement of agricultural produce is crucial for ensuring fair compensation to farmers and maintaining the integrity of supply chains. However, traditional procurement methods are often cumbersome and susceptible to inefficiencies and malpractices. The emergence of Farmer Procurement Platforms (FPPs) offers a promising solution to streamline the procurement process and empower farmers. This research proposes an automated Farmer Procurement Platform aimed at revolutionizing the agricultural supply chain management. Leveraging advanced technologies such as blockchain and IoT, the proposed platform facilitates seamless interaction between farmers and buyers while ensuring transparency and traceability throughout the procurement process. By harnessing the power of data analytics and machine learning algorithms, the platform optimizes decision-making processes and enhances market efficiency. The primary objective of this research is to develop a comprehensive Farmer Procurement Platform that simplifies procurement operations, strengthens farmer-buyer relationships, and fosters sustainable agricultural practices. The proposed platform will undergo four key phases: data acquisition, smart contract implementation, transaction validation, and supply chain integration. Keywords: Farmer Procurement Platform, agricultural supply chain, blockchain, IoT, data analytics, machine learning Keywords— Mongo DB, React JS, Node JS, Express JS, Attendance, Facial recognition, and detection, Haar cascade, Alert, Student Face.
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Ateya, Abdelhamied A., Abeer D. Algarni, Monia Hamdi, Andrey Koucheryavy, and Naglaa F. Soliman. "Enabling Heterogeneous IoT Networks over 5G Networks with Ultra-Dense Deployment—Using MEC/SDN." Electronics 10, no. 8 (2021): 910. http://dx.doi.org/10.3390/electronics10080910.
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The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Many IoT platforms and networks have been developed, and recently, market sectors have started to develop specific IoT applications and services. Integrating heterogeneous IoT networks with the existing ones, mainly with the cellular networks, is a great demand. IoT represents one of the main use cases of the fifth-generation (5G) cellular system as announced by the 3rd Generation Partnership Project (3GPP) and the International Telecommunication Union (ITU). Integrating IoT networks with 5G networks face many challenges related to dense deployment and a massive number of expected connected devices. Thus, IoT network availability and scalability are the main requirements that should be achieved. To this end, this work provides a framework for integrating heterogeneous IoT networks with the 5G networks. The proposed system considers dense deployment and system scalability and availability requirements as announced by ITU and 3GPP. Our proposed structure deploys three main communication paradigms; mobile edge computing (MEC), device-to-device communications (D2D), and software-defined networking (SDN). Our proposed system is evaluated over a reliable environment for various deployment scenarios, and the results validate the proposed structure. The proposed IoT/5G reduces the percentage of blocked tasks by an average of 30% than other traditional IoT networks. This increases the overall system availability and scalability since IoT networks can have more devices and tasks than existing IoT networks. Furthermore, our proposed structure reduces the overall consumed energy by an average of 20% than existing IoT networks, which is an effective metric for IoT networks.
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Rosário, Albérico Travassos, and Ricardo Raimundo. "Internet of Things and Distributed Computing Systems in Business Models." Future Internet 16, no. 10 (2024): 384. http://dx.doi.org/10.3390/fi16100384.
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The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested.
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НАЗАРЕНКО, НАТАЛІЯ, СЕРГІЙ ЗАЄЦЬ та ЮРІЙ КИРИЧУК. "СПІВПРАЦЯ ІНДУСТРІЇ 4.0 ТА ІНТЕРНЕТУ РЕЧЕЙ IOT". Herald of Khmelnytskyi National University. Technical sciences 341, № 5 (2024): 74–79. https://doi.org/10.31891/2307-5732-2024-341-5-10.
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The work shows real examples of the cooperation of Industry 4.0 and the Internet of Things (IoT), which allows creating intelligent, automated systems that increase productivity, reduce costs, and optimize the use of resources in various industries. At the current stage of the company's development, information systems (hereinafter - IS) and information technologies (hereinafter - IT) are constantly developing. The term "Industry 4.0" is understood as a qualitative transition from standard production involving large human resources to fully automated digital production controlled by IS in real time and with the external environment. The term "Industry 4.0" has become synonymous with the fourth industrial revolution. Its essence is that today the material world is connected with the virtual world, as a result of which new cybernetic-physical complexes are born. Some big digital companies have started building IoT platforms and now there is quite a large market for these platforms. The adoption and use of IoT is a great prospect for every company, IoT brings huge benefits to business, even in the area of reducing production and service costs by reducing production costs and development opportunities for organizations that are not yet using this technical solution. The work presents the principles of using the Internet of Things in the electric power industry and in the field of health care. The peculiarities of the automation of agricultural activities are defined, the sphere of influence of the Internet of Things on agriculture is substantiated, namely on precision agriculture, management of agricultural transport, "smart farms", "smart greenhouses". The principles of using the Internet of Things in the field of logistics are indicated. It is emphasized that the Internet of Things is one of the main priority directions for solving the issue of reducing costs and delaying cargo in transit, increasing the transparency of operations and minimizing human participation in these processes.
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Atuman, Ayuba, Wumi Ajayi, and Roqib Akintunde Akinyemi. "Multi-criteria Decision Support System for Prioritizing Challenges of Internet of Things (IoT)." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 1539–63. http://dx.doi.org/10.22214/ijraset.2023.54873.
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Abstract: The adoption and utilization of Internet of Things (IoT) technologies such as IoT Platforms, 5G, connected sensors, WAN, etc mostly come with numerous, seemingly complex and expensive challenges for institutions and organisations, particularly in developing countries as they work to fill their fair share of the global IoT market. Multi-criteria decision support systems (MCDSS) can be indispensable tools for evaluating and prioritizing these complex competing difficulties by multistakeholder decision makers. While eliminating conventional decision problems such as, human biases, time consumption, cost of decision, etc, MCDSS make it possible for companies to concentrate on solving challenges which their limited resources can cater for. This study presents an approach for design and implementation of a prototype MCDSS for prioritizing challenges that institutions and organizations face while adopting and utilizing IoT technologies using Fuzzy Analytic Hierarchy Process (FAHP) methodology. ASP.Net model View controller (MVC) framework and C Sharp programming Language was used for the GUI and the Logic development. The system's default IoT challenges and dataset were adapted from the works of A.K. Mohammadzadeh (Baseline dataset). The system usability test result obtained shows that the system is friendly and usable. The output weights and rating of the IoT technology adoption challenges/sub-challenges exhibit over 80% similarity when compared to the Baseline dataset. Further studies are recommended to make the system a
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Agustiono, Wahyudi, Fiki Milatul Wahyu, and Weny Findiastuti. "An internet of things-based solar dryer: A conceptual design for seaweed cultivation in Madura." BIO Web of Conferences 146 (2024): 01032. http://dx.doi.org/10.1051/bioconf/202414601032.
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This research proposes a conceptual design for an Internet of Things (IoT)-enhanced solar dryer tailored specifically for seaweed cultivation on Madura Island, Indonesia. The study addresses the critical bottleneck in the traditional sun drying process, which is highly susceptible to weather variations, contamination, and inconsistent drying quality. Utilizing Fahmideh and Zowghi's IoT Development Framework, the research encompasses both the analysis and design phases. The analysis phase identifies the environmental conditions, operational requirements, and technical specifications necessary for optimal seaweed drying on Madura Island. Based on these insights, the design phase develops a comprehensive system architecture incorporating advanced IoT components such as sensors, actuators, connectivity solutions, and data management platforms. The proposed IoT-enhanced solar dryer aims to create a controlled and optimized drying environment, significantly improving drying efficiency and ensuring consistent product quality. By enabling farmers to meet increasing demand and achieve higher market prices for their produce, this innovative solution enhances the economic viability of seaweed farming on Madura Island. Ultimately, this research contributes to the sustainability and growth of Indonesia’s blue economy by promoting advanced agricultural practices and increasing the competitiveness of the seaweed industry.
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Raghu Chaitanya Vasi Reddy. "The evolution of enterprise integration: AI, architectures, and strategic implications." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 547–55. https://doi.org/10.30574/wjaets.2025.15.1.0203.
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This article examines the evolution of enterprise integration, exploring how it has transformed from simple point-to-point connections to sophisticated orchestration platforms that serve as critical enablers of digital transformation. The article explores key technological trends reshaping the integration landscape, including artificial intelligence capabilities that enhance development productivity and reduce costs, modern architectural paradigms like serverless computing and event-driven integration that improve operational efficiency, API-centric approaches that accelerate time-to-market, and complementary technologies such as IoT integration, blockchain, and low-code platforms that expand integration possibilities. Through extensive research and industry analysis, the article demonstrates how integration has evolved from a tactical technical concern to a strategic business imperative that directly impacts organizational agility, innovation capacity, and competitive positioning in increasingly complex digital ecosystems.
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Naveena Pathuri. "IoT-Enabled Cross-Platform Applications for Real-Time Logistics Monitoring." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1179–85. https://doi.org/10.32628/cseit241061159.
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Internet of Things (IoT)The integration of Internet of Things (IoT) technology and cross-platform mobile applications has revolutionized real-time logistics monitoring, enabling unprecedented visibility, efficiency, and proactive management of supply chain operations. This article explores the key components of IoT-enabled logistics monitoring, including IoT sensors, data integration, real-time tracking, automated notifications, predictive maintenance, and proactive supply chain management. The benefits of implementing these solutions are highlighted, such as reduced risks, optimized routes, improved operational efficiency, and enhanced customer satisfaction. The article also discusses the challenges associated with IoT implementation, including data integration, connectivity, security, and privacy, and provides strategies for overcoming these obstacles. Through real-world case studies, the tangible impact of IoT-enabled cross-platform applications in logistics is demonstrated, showcasing the potential for significant improvements in cost savings, asset utilization, and overall supply chain performance. As the IoT landscape continues to evolve, the adoption of these technologies will become increasingly critical for logistics providers looking to maintain a competitive edge in the market.
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Partida, Alberto, Regino Criado, and Miguel Romance. "Visibility Graph Analysis of IOTA and IoTeX Price Series: An Intentional Risk-Based Strategy to Use 5G for IoT." Electronics 10, no. 18 (2021): 2282. http://dx.doi.org/10.3390/electronics10182282.
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The transformation of time series into complex networks through visibility graphs is an innovative way to study time-based events. In this work, we use visibility graphs to transform IOTA and IoTeX price volatility time series into complex networks. Our aim is twofold: first, to better understand the markets of the two most capitalised Internet of Things (IoT) platforms at the time of writing. IOTA runs on a public directed acyclic graph (DAG) and IoTeX on a blockchain. Second, to suggest how 5G can improve information security in these two key IoT platforms. The analysis of the networks created by the natural and horizontal visibility graphs shows, first, that both IOTA and IoTeX are still at their infancy in their development, with IoTex seemingly developing faster. Second, both IoT tokens form communities in a hierarchical structure, and third, 5G can accelerate their development. We use intentional risk management as a lever to understand the impact of 5G on IOTA and IoTeX. Our results lead us to provide a set of design recommendations that contribute to improving information security in future 5G-based IoT implementations.
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Surendra Mohan Devaraj. "Digital Transformation and Innovation : Driving Business Growth." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 885–94. http://dx.doi.org/10.32628/cseit241051077.
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This comprehensive article explores the symbiotic relationship between digital transformation and innovation in driving business growth. It examines the key components of digital transformation, including cloud computing, big data analytics, AI, IoT, cybersecurity, and digital platforms. The article discusses how digital transformation catalyzes innovation through data-driven decision-making, fostering experimentation, enhancing collaboration, and accelerating time-to-market. It outlines the competitive advantages of digital transformation, such as improved customer experience, operational efficiency, new revenue streams, agility, and talent attraction. Case studies of successful digital transformations are presented, along with an analysis of organizations' challenges and considerations in their digital transformation journeys.
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Muhammad, Albiansyah, and Fajarindra Belgiawan Prawira. "Proposed Marketing Strategy to Increase Sales of Djakarta Transport Jaya." International Journal of Current Science Research and Review 06, no. 07 (2023): 4560–68. https://doi.org/10.5281/zenodo.8161195.
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<strong>ABSTRACT: </strong>PT Djakarta Transport Jaya faced profit problems five years ago, one of which was the lack of knowledge about the right marketing strategy and limited access to a wide marketing platform. The author conducts quantitative research through surveys and in-depth interviews with new potential market segments that can help PT Djakarta Transport Jaya increase sales in the B2B market. The author also analyzes the factors that can influence the buying interest of new market candidates of PT Djakarta Transport Jaya. The results of this research are expected to be a solution for PT Djakarta Transport Jaya in increasing profits through the implementation of appropriate marketing strategies and optimization of access to extensive marketing platforms. Thus, PT Djakarta Transport Jaya can reach new potential markets and increase its competitiveness in the B2B market. The analysis was conducted internally using: Segmenting, targeting and positioning, Marketing mix, VRIO Framework and Business Model Canvas, as well as external analysis consisting of Porter 5 forces, PESTEL analysis, Competitor analysis and Consumer analysis. The results of the author's research, PT Djakarta Transport Jaya can emphasize a wide reach to remote areas by upholding the speed and security of shipments on social media platforms. Using social media marketing such as the use of IG ADS, FB ADS and TikTok to reach new consumers by highlighting the completeness of the fleet. Focus on a sophisticated tracking system and service activities carried out by SDM Djakarta transport jaya. Strengthening social media content with interesting topics such as technological innovations such as IoT which is used to monitor the performance and punctuality of vehicle trips to increase customer satisfaction and lastly Keeping prices competitive with competitors in order to attract new customers and retain old customers.
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Sánchez, Luis, Jorge Lanza, Juan Ramón Santana, et al. "Federation of Internet of Things Testbeds for the Realization of a Semantically-Enabled Multi-Domain Data Marketplace." Sensors 18 (October 10, 2018): 3375. https://doi.org/10.3390/s18103375.
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The Internet of Things (IoT) concept has attracted a lot of attention from the research and innovation community for a number of years already. One of the key drivers for this hype towards the IoT is its applicability to a plethora of different application domains. However, infrastructures enabling experimental assessment of IoT solutions are scarce. Being able to test and assess the behavior and the performance of any piece of technology (i.e., protocol, algorithm, application, service, etc.) under real-world circumstances is of utmost importance to increase the acceptance and reduce the time to market of these innovative developments. This paper describes the federation of eleven IoT deployments from heterogeneous application domains (e.g., smart cities, maritime, smart building, crowd-sensing, smart grid, etc.) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day. The paper summarizes the resources that are made available through a cloud-based platform. The main contributions from this paper are twofold. In the one hand, the insightful summary of the federated data resources are relevant to the experimenters that might be seeking for an experimental infrastructure to assess their innovations. On the other hand, the identification of the challenges met during the testbed integration process, as well as the mitigation strategies that have been implemented to face them, are of interest for testbed providers that can be considering to join the federation.
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DIDUSHKO, D.M. "Implementation of the Internet of things in the sectors of the world economy." Market Relations Development in Ukraine10 (209) 2018 140 (January 10, 2019): 42–48. https://doi.org/10.5281/zenodo.2537258.
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Subject of research – features of the emergence of new products and services in the space of formation and development of intellectual technologies. The purpose of writing the article is the author’s vision of the specifics of the influence of Internet things on the competitiveness of the national economy in the global economic space. Methodology of the work – general provisions of economic theory, postulates of the innovative economy, as well as PESTL analysis to identify key features and environmental impact on the effectiveness of the introduction of the latest technology in modern Ukraine. The results of the work – an analysis of the environment for the introduction of Internet things in Ukraine, which shows the adverse political factors in Ukraine, but taking advantage of the opportunities of the European Free Trade Area, the country can take promising positions in the global Internet market. Economic conditions are relatively favorable for building business in the Internet sector, and social factors are more conducive to market development in a specific sector, particularly in the B2C segment. Innovative technological environment is characterized by high potential and at the same time lack of state support and protection of inventions. In spite of certain advantages under other equal conditions, the complexity of the legislation regulating international trade, tax, civil–labor relations is a deterrent to the development of the Internet market of things in Ukraine. Conclusions – The Internet of things is extremely promising and its growth is inevitable. He has a lot of opportunities, including: the Internet of things of industrial goods, the market of IOT platforms, but there are also threats that hinder its development in Ukraine. Overcoming these threats can turn existing conditions into new opportunities, so it becomes an important task today. In general, for Ukraine there are many ways to successfully use the possibilities of the Internet market of things, however, there are state problems, without which the competition in this market will be practically impossible, in particular, the political and legal system still remains a stumbling block.
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de Roode, Mike, Alba Fernández-Izquierdo, Laura Daniele, María Poveda-Villalón, and Raúl García-Castro. "SAREF4INMA: A SAREF extension for the industry and manufacturing domain." Semantic Web 11, no. 6 (2020): 911–26. http://dx.doi.org/10.3233/sw-200402.
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The IoT landscape is characterized by a fragmentation of standards, platforms and technologies, often scattered among different vertical domains. To prevent the market to continue to be fragmented and power-less, a protocol-independent semantic layer can serve as enabler of interoperability among the various smart devices from different manufacturers that co-exist in a specific industry domain, but also across different domains. To that end, the SAREF ontology was created in 2015 with the intention to interconnect data, enabling the communication between IoT devices that use different protocols and standards. A number of industrial sectors consequently expressed their interest to extend SAREF into their domains in order to fill the gaps of the semantics not yet covered by their communication protocols. Therefore, the SAREF4INMA ontology was recently created to extend SAREF for describing the Smart Industry & Manufacturing domain. SAREF4INMA is based on several standards and IoT initiatives, as well as on real use cases, and includes classes, properties and instances specifically created to cover the industry and manufacturing domain. This work describes the approach followed to develop this ontology, specifies its requirements and also includes a practical example of how to use it.
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Pérez de Prado, Rocío, Sebastián García-Galán, José Enrique Muñoz-Expósito, Adam Marchewka, and Nicolás Ruiz-Reyes. "Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities." Sensors 20, no. 6 (2020): 1714. http://dx.doi.org/10.3390/s20061714.
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Docker containers are the lightweight-virtualization technology prevailing today for the provision of microservices. This work raises and discusses two main challenges in Docker containers’ scheduling in cloud-fog-internet of things (IoT) networks. First, the convenience to integrate intelligent containers’ schedulers based on soft-computing in the dominant open-source containers’ management platforms: Docker Swarm, Google Kubernetes and Apache Mesos. Secondly, the need for specific intelligent containers’ schedulers for the different interfaces in cloud-fog-IoT networks: cloud-to-fog, fog-to-IoT and cloud-to-fog. The goal of this work is to support the optimal allocation of microservices provided by the main cloud service providers today and used by millions of users worldwide in applications such as smart health, content delivery networks, smart health, etc. Particularly, the improvement is studied in terms of quality of service (QoS) parameters such as latency, load balance, energy consumption and runtime, based on the analysis of previous works and implementations. Moreover, the scientific-technical impact of smart containers’ scheduling in the market is also discussed, showing the possible repercussion of the raised opportunities in the research line.