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Journal articles on the topic 'IoT Applications'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Dangat, Prof M. T. "Industrial Internet of Things (IIOT)." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2721–26. http://dx.doi.org/10.22214/ijraset.2024.59103.

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Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this st

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Yangui, Sami. "A Panorama of Cloud Platforms for IoT Applications Across Industries." Sensors 20, no. 9 (2020): 2701. http://dx.doi.org/10.3390/s20092701.

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Internet of Things (IoT) applications can play a critical role in business and industry. Industrial IoT (IIoT) refers to the use of IoT technologies in manufacturing. Enabling IIoT applications in cloud environments requires the design of appropriate IIoT Platform as-a-Service (IIoT PaaS) to support and ease their provisioning (i.e., development, deployment and management). This paper critically reviews the IIoT PaaS architectures proposed so far in the relevant literature. It only surveys the architectures that are suitable for IIoT applications provisioning and it excludes regular IoT soluti

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Madugula, Lavanya. "Applications of IoT in Manufacturing: Issues and Challenges." Journal of Advanced Research in Embedded System 8, no. 1&2 (2021): 3–7. http://dx.doi.org/10.24321/2395.3802.202101.

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The Internet of Things (IoT) is the global network of inter-related physical devices such as sensors, objects, computing devices, mechanical instruments, smart applications and human resources that are becoming an essential part of the internet. These devices are the sources of data which provide abundant information in manufacturing processes. In an industrial environment, the Industrial Internet of Things (IIoT) plays a pivotal role in manufacturing. IIoT is the transformation of manufacturing process by making the industries more efficient, productive, and smarter. In order to survive, with

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Abosata, Nasr, Saba Al-Rubaye, Gokhan Inalhan, and Christos Emmanouilidis. "Internet of Things for System Integrity: A Comprehensive Survey on Security, Attacks and Countermeasures for Industrial Applications." Sensors 21, no. 11 (2021): 3654. http://dx.doi.org/10.3390/s21113654.

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The growth of the Internet of Things (IoT) offers numerous opportunities for developing industrial applications such as smart grids, smart cities, smart manufacturers, etc. By utilising these opportunities, businesses engage in creating the Industrial Internet of Things (IIoT). IoT is vulnerable to hacks and, therefore, requires various techniques to achieve the level of security required. Furthermore, the wider implementation of IIoT causes an even greater security risk than its benefits. To provide a roadmap for researchers, this survey discusses the integrity of industrial IoT systems and h

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Xing, Zhihuan, Yuqing Lan, Zhongjie Sun, et al. "IoT OS Platform: Software Infrastructure for Next-Gen Industrial IoT." Applied Sciences 14, no. 13 (2024): 5370. http://dx.doi.org/10.3390/app14135370.

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With the rapid development of the Internet of Things (IoT), the growth of the Industrial Internet of Things (IIoT) applied in the industrial sector has also been swift. However, in practical applications, there are still issues such as the misalignment between theory and application, the lack of a unified standardization framework, and the frequent occurrence of data silos. These issues limit the maintainability and scalability of IIoT systems and increase the digitalization costs for enterprises. Based on this, drawing from the design principles of classic general-purpose operating systems, w

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Kant, Daniel, Andreas Johannsen, and Reiner Creutzburg. "Analysis of IoT Security Risks based on the exposure of the MQTT Protocol." Electronic Imaging 2021, no. 3 (2021): 96–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-096.

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Due to the tremendous growth of Internet of Things (IoT) applications - e.g. smart homes, smart grids, smart factories – and the emerging integration into industrial systems, the cyber threat landscape for IoT and IIoT applications is rapidly evolving. Security by Design principles are still widely neglected in the design of IoT devices and protocols. For consumer IoT, the privacy of the applicant can be compromised when devices are inappropriately secured. With regard to Industrial IoT, the usage of insecure IIoT protocols such as MQTT can have a severe impact on the industrial environment su

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Islam, Mahbubul, Hossain Jamil, Samiul Pranto, Rupak Das, Al Amin, and Arshia Khan. "Future Industrial Applications: Exploring LPWAN-Driven IoT Protocols." Sensors 24, no. 8 (2024): 2509. http://dx.doi.org/10.3390/s24082509.

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The Internet of Things (IoT) will bring about the next industrial revolution in Industry 4.0. The communication aspect of IoT devices is one of the most critical factors in choosing the device that is suitable for use. Thus far, the IoT physical layer communication challenges have been met with various communications protocols that provide varying strengths and weaknesses. This paper summarizes the network architectures of some of the most popular IoT wireless communications protocols. It also presents a comparative analysis of some of the critical features, including power consumption, covera

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Caesarendra, Wahyu, Bobby Pappachan, Tomi Wijaya, et al. "An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0." Applied Sciences 8, no. 11 (2018): 2165. http://dx.doi.org/10.3390/app8112165.

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The number of studies on the Internet of Things (IoT) has grown significantly in the past decade and has been applied in various fields. The IoT term sounds like it is specifically for computer science but it has actually been widely applied in the engineering field, especially in industrial applications, e.g., manufacturing processes. The number of published papers in the IoT has also increased significantly, addressing various applications. A particular application of the IoT in these industries has brought in a new term, the so-called Industrial IoT (IIoT). This paper concisely reviews the

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Md Hossain and Md Bahar Uddin. "Digital Twins and Federated Learning for Industrial Internet of Things." International Journal of Science and Research Archive 16, no. 1 (2025): 729–36. https://doi.org/10.30574/ijsra.2025.16.1.2087.

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The Internet of Things (IoT) is penetrating various facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI). AI techniques require centralized data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing data privacy concerns. Federated Learning (FL) has emerged as a distributed collaborative AI approach that can enable many intelligent IoT applications by allowing for AI training at distributed IoT devices without the need for

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Dangana, Muhammad, Shuja Ansari, Qammer H. Abbasi, Sajjad Hussain, and Muhammad Ali Imran. "Suitability of NB-IoT for Indoor Industrial Environment: A Survey and Insights." Sensors 21, no. 16 (2021): 5284. http://dx.doi.org/10.3390/s21165284.

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The Internet of Things (IoT) and its applications in industrial settings are set to bring in the fourth industrial revolution. The industrial environment consisting of high profile manufacturing plants and a variety of equipment is inherently characterized by high reflectiveness, causing significant multi-path components that affect the propagation of wireless communications—a challenge among others that needs to be resolved. This paper provides a detailed insight into Narrow-Band IoT (NB-IoT), Industrial IoT (IIoT), and Wireless Sensor Networks (WSN) within the context of indoor industrial en

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Lin, Yun-Wei, Yi-Bing Lin, and Tai-Hsiang Yen. "SimTalk: Simulation of IoT Applications." Sensors 20, no. 9 (2020): 2563. http://dx.doi.org/10.3390/s20092563.

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The correct implementation and behavior of Internet of Things (IoT) applications are seldom investigated in the literature. This paper shows how the simulation mechanism can be integrated well into an IoT application development platform for correct implementation and behavior investigation. We use an IoT application development platform called IoTtalk as an example to describe how the simulation mechanism called SimTalk can be built into this IoT platform. We first elaborate on how to implement the simulator for an input IoT device (a sensor). Then we describe how an output IoT device (an act

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Jain, Deepak. "IoT Applications in Agriculture." Indian Journal of Computer Science 5, no. 1 (2020): 19. http://dx.doi.org/10.17010/ijcs/2020/v5/i1/151314.

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Enache, B. A., C. K. Banica, and Ana Geroge Bogdan. "Labview for IoT Applications." Scientific Bulletin of Electrical Engineering Faculty 23, no. 1 (2023): 50–53. http://dx.doi.org/10.2478/sbeef-2023-0009.

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Abstract The Internet of Things (IoT) represents a paradigm shift, ushering in an era of technological innovation characterised by an array of novel services. IoT applications, with their potential to harmoniously merge the cyber and physical worlds, are nearly boundless. However, despite the extensive efforts put forth by standardisation bodies, alliances, industries, and the research community, a myriad of challenges remains to be addressed for IoT to reach its maximum potential. This paper presents a possible solution by merging the advantages of the LabView development medium with the ligh

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Dorage, Sachin Vasant. "Cybersecurity in Industrial Management within the Internet of Things." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–16. http://dx.doi.org/10.55041/ijsrem37081.

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Recently, it has become important to integrate cybersecurity threat management policies in the management of any organization that uses information systems, whether large, medium or even small organizations. People live in the center of the field of smart homes, business opportunities of smart industrial cities and healthcare. Even as IoT security issues become increasingly ubiquitousin the industrial realm, they face the added challenge of evolving networks. Architecture towards the integration of information technology (IT) and operational technology (OT) networks. This article analyzes the

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Varga, Pal, Jozsef Peto, Attila Franko, et al. "5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps." Sensors 20, no. 3 (2020): 828. http://dx.doi.org/10.3390/s20030828.

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Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusio

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Sreedharan, Radhika. "Dealing with applications in Industrial IoT." International Conference on Information Science and Technology Innovation (ICoSTEC) 2, no. 1 (2023): 122–26. http://dx.doi.org/10.35842/icostec.v2i1.49.

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Industrial Internet of Things (IIoT) also known as Industry 4.0, consists of industries that utilize IoTs to facilitate logistics, manufacturing, transportation, oil and gas, energy/utilities, mining and metals, aviation, and others. Though a lot of companies have proceeded into a lot of areas utilizing IIoT, its applicability in a lot of is still not explored and remains unpredictable. Its evolution is similar to that of the Internet in the early 90s, where it initially appeared and slowly gained momentum in the 20th century to almost becoming and indispensable aspect of human life in the 21s

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C. Sailaja. "Industrial Internet of Things – An Overview." December 2022 4, no. 4 (2022): 257–71. http://dx.doi.org/10.36548/jismac.2022.4.003.

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Internet of Things (IoT) is a network of intelligent objects (smart sensors) that are connected and accessible to the Internet through devices such as routers to exchange data. Many useful applications can be developed using IoT. IoT has brought a change in such a way that everything around us can be turned into smart devices e.g., smart cars, smart homes, smart parking, smart cities etc., thereby connecting human, machine & things seamlessly. The advent of cheaper processing power, communication cost and some marketing have created the IoT of today. When the principles of IoT are applied

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Lin, Bao-Shuh Paul. "Toward an AI-Enabled SDN-based 5G & IoT Network." Network and Communication Technologies 5, no. 2 (2020): 7. http://dx.doi.org/10.5539/nct.v5n2p7.

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Artificial Intelligent technology has been applied to a wide variety of applications including products, systems, and services of the Information &amp; Communications Technology (ICT) and non-ICT or traditional industries. The benefits of these applications includes performance improvement, optimization, intelligent.The 5G mobile/wireless networks have intelligent features of network slicing and edge computing because of network equipment system vendors apply AI technology to the mobile systems. On the other hand, many traditional industries have benefits from AI technology in particular M

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Valanarasu, R. "A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications." September 2021 3, no. 3 (2021): 128–45. http://dx.doi.org/10.36548/jsws.2021.3.001.

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Recently, IoT is referred as a descriptive term for the idea that everything in the world should be connected to the internet. Healthcare and social goods, industrial automation, and energy are just a few of the areas where the Internet of Things applications are widely used. Applications are becoming smarter and linked devices are enabling their exploitation in every element of the Internet of Things [IoT]. Machine Learning (ML) methods are used to improve an application's intelligence and capabilities by analysing the large amounts of data. ML and IoT have been used for smart transportation,

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Okoli, Nwakego Joy, and Boniface Kabaso. "Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions." Water 16, no. 4 (2024): 557. http://dx.doi.org/10.3390/w16040557.

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Water is an essential service for the sustainable development and economic competitiveness of any country. The global water demand has increased substantially due to economic development, climate change, and rising population. The Internet of Things (IoT) and Information and Communication Technologies (ICT) can help conserve available water resources. Smart cities apply IoT to boost the performance and efficiency of urban facilities. Smart cities are towns created to use IoT and ICT (innovative technologies) such as smart water applications. Several studies on smart water technology have been

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Anarbayevich, Abdurakhmanov Ravshan. "EXPLORING THE PRACTICAL APPLICATIONS OF IoT TECHNOLOGIES." International Journal of Advance Scientific Research 4, no. 2 (2024): 88–100. http://dx.doi.org/10.37547/ijasr-04-02-15.

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The Internet of Things (IoT) has emerged as a transformative technology with far-reaching implications across various domains. This scientific article delves into the practical applications of IoT technologies, examining their impact on diverse sectors such as healthcare, agriculture, transportation, smart cities, and industrial automation. By leveraging interconnected devices, sensors, and data analytics, IoT solutions enable enhanced monitoring, automation, and decision-making processes, leading to improved efficiency, productivity, and quality of life. The article provides insights into rea

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Ali, Zulfiqar, Azhar Mahmood, Shaheen Khatoon, et al. "A Generic Internet of Things (IoT) Middleware for Smart City Applications." Sustainability 15, no. 1 (2022): 743. http://dx.doi.org/10.3390/su15010743.

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The Internet of Things (IoT) is one of the key components of the ICT infrastructure of smart cities due to its great potential for intelligent management of infrastructures and facilities and the enhanced delivery of services in support of sustainable cities. Smart cities typically rely on IoT, where a wide variety of devices communicate with each other and collaborate across heterogeneous and distributed computing environments to provide information and services to urban entities and urbanites. However, leveraging the IoT within software applications raises tremendous challenges, such as data

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Patel, Vishv, Devansh Shah, and Nishant Doshi. "EMERGING TECHNOLOGIES AND APPLICATIONS FOR SMART CITIES." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (2021): 19–24. http://dx.doi.org/10.5383/juspn.15.02.003.

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The large deployment of the Internet of Things (IoT) is empowering Smart City tasks and activities everywhere throughout the world. Items utilized in day-by-day life are outfitted with IoT devices and sensors to make them interconnected and connected with the internet. Internet of Things (IoT) is a vital piece of a smart city that tremendously impact on all the city sectors, for example, governance, healthcare, mobility, pollution, and transportation. This all connected IoT devices will make the cities smart. As different smart city activities and undertakings have been propelled in recent tim

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Happy. "Security Issues in IoT Applications." Journal of Information Systems Engineering and Management 10, no. 15s (2025): 644–63. https://doi.org/10.52783/jisem.v10i15s.2502.

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The 21st century witnessed the appearance of the Internet of Things (IoT), which completely shifted the realm of innovations by enabling connectivity and communication between multiple devices. Constantly interdependent infrastructure that incorporates sensor equipment with information sharing and processing abilities has transformed everyone's lives, enabling seamless intercontinental interaction and information evaluation. The IoT remains vulnerable to security incidents regardless of its widespread utilization, partially due to risks ranging from obsolete firmware or software, inadequate au

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Raimundo, Ricardo Jorge, and Albérico Travassos Rosário. "Cybersecurity in the Internet of Things in Industrial Management." Applied Sciences 12, no. 3 (2022): 1598. http://dx.doi.org/10.3390/app12031598.

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Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limi

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Radha, D., and Dr M. G. Kavitha. "Security Awareness in Iot for Industrial Applications Using Blockchain." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 7341–45. http://dx.doi.org/10.22214/ijraset.2023.51896.

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Abstract: The internet of things is the ability to mechanically transfer knowledge over a network. IIoT has been wide enforced in industries like manufacturing and F&B. To meet the difficult paradigms of wireless device networks like Energy potency and accommodative mechanism, the device nodes are increased with IoT support. IoT allows streamlining of information that may manage and monitor the industrial activities within the sensing space. Security issues arise within the space wherever IoT is used. There is a need for a information sharing system which should be directly implemented on

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Hou, Kun Mean, Xunxing Diao, Hongling Shi, Hao Ding, Haiying Zhou, and Christophe de Vaulx. "Trends and Challenges in AIoT/IIoT/IoT Implementation." Sensors 23, no. 11 (2023): 5074. http://dx.doi.org/10.3390/s23115074.

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For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car and logistics, Industry 4.0, entertainment (video game) and social media applications, due to recent tremendous developments in process modeling, supercomputing, cloud data analytics (deep learning, etc.), communication network and AIoT/IIoT/IoT technologies. AIoT/IIoT/IoT is a crucial research field because it provides the essential data to f

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Kiran, D. R. K. Saikanth, Anadi Ranjan Saikia, et al. "Smart Agriculture: Technologies, Practices, and Future Directions." International Journal of Environment and Climate Change 13, no. 12 (2023): 689–95. http://dx.doi.org/10.9734/ijecc/2023/v13i123730.

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The Internet of Things (IoT) has ushered in a new era of innovative agriculture research. Because IoT is still in its early stages, it must be widely tested before it can be widely deployed in many agricultural applications. In this paper, I look at different prospective IoT applications, as well as the unique concerns and constraints connected with IoT deployment for better farming. The gadgets and wireless communication technologies linked with IoT in agricultural and farming applications are thoroughly researched to focus on the unique requirements. Sensor-enabled IoT systems that deliver i

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Todoli-Ferrandis, David, Javier Silvestre-Blanes, Víctor Sempere-Payá, and Salvador Santonja-Climent. "Polling Mechanisms for Industrial IoT Applications in Long-Range Wide-Area Networks." Future Internet 16, no. 4 (2024): 130. http://dx.doi.org/10.3390/fi16040130.

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LoRaWAN is a low-power wide-area network (LPWAN) technology that is well suited for industrial IoT (IIoT) applications. One of the challenges of using LoRaWAN for IIoT is the need to collect data from a large number of devices. Polling is a common way to collect data from devices, but it can be inefficient for LoRaWANs, which are designed for low data rates and long battery life. LoRaWAN devices operating in two specific modes can receive messages from a gateway even when they are not sending data themselves. This allows the gateway to send commands to devices at any time, without having to wa

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N., Sathiyanathan, S. Selvakumar., and Selvaprasanth P. "A Brief Study on IoT Applications." International Journal of Trend in Scientific Research and Development 4, no. 2 (2020): 23–27. https://doi.org/10.5281/zenodo.3842817.

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The Internet of Things IoT is viewed as an ecosystem that includes smart objects with sensors, networks, and processing technologies that integrate and work together to provide an environment that provides smart services to end users. IoT brings many benefits to human life through an environment where smart services are provided to use any activity anytime and anywhere. All of these facilities and services are communicated through various applications running in the IoT environment. The most important utility achieved by IoT applications is monitoring and, consequently, rapid decision making f

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Ma, Jinnan, Xuekui Shangguan, and Ying Zhang. "IoT Security Review: A Case Study of IIoT, IoV, and Smart Home." Wireless Communications and Mobile Computing 2022 (August 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6360553.

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The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the secur

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Rup, Clément, and Eddy Bajic. "Green and Sustainable Industrial Internet of Things Systems Leveraging Wake-Up Radio to Enable On-Demand IoT Communication." Sustainability 16, no. 3 (2024): 1160. http://dx.doi.org/10.3390/su16031160.

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The industrial Internet of things (IIoT) is a major lever in Industry 4.0 development, where reducing the carbon footprint and energy consumption has become crucial for modern companies. Today’s IIoT device infrastructure wastes large amounts of energy on wireless communication, limiting device lifetime and increasing power consumption and battery requirements. Communication capabilities seriously affect the responsiveness and availability of autonomous IoT devices when collecting data and retrieving commands to/from higher-level applications. Thus, the objective of optimizing communication re

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Kim, Mi. "A Quality Model for Evaluating IoT Applications." International Journal of Computer and Electrical Engineering 8, no. 1 (2016): 66–76. http://dx.doi.org/10.17706/ijcee.2016.8.1.66-76.

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Vivek Reddy, Eega, J. Bala Krishna, and Huzaifa Saad. "Real World IoT Applications in Daily Domain." International Journal of Science and Research (IJSR) 11, no. 1 (2022): 455–59. http://dx.doi.org/10.21275/sr22105204250.

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Rajvin Mehta and Kavish Devnani. "Integrating IoT with machine learning: A path towards ubiquitous smart applications." International Journal of Science and Research Archive 4, no. 1 (2021): 217–21. http://dx.doi.org/10.30574/ijsra.2021.4.1.0142.

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The integration of the Internet of Things (IoT) with Machine Learning (ML) is a transformative advancement that is revolutionizing the way data-driven decision-making occurs across various industries. IoT systems comprise interconnected devices that collect and transmit vast amounts of real-time data from sensors, machines, and appliances. However, merely collecting data is not sufficient; the real value lies in the analysis and interpretation of this data to generate actionable insights. This is where ML comes into play. ML techniques allow systems to learn from the data generated by IoT devi

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Mali, Supriya. "Industrial Iot vs. Iot: Understanding the Differences and Impacts of Recent Technological Advancements." International Journal of Advance and Applied Research 6, no. 25 (2025): 202–6. https://doi.org/10.5281/zenodo.15295272.

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<strong>Abstract:</strong> Our involvement with technology has been totally transformed by the Internet of Things (IoT), which enables smooth communication and data sharing among multiple devices. However, a subset of the Internet of Things specifically created for industrial application is known as the Industrial Internet of Things (IIoT). This paper aims to describe the distinctions between IoT and IIoT, looking at their unique characteristics, applications, and the ways in which new technological developments have affected both domains. In order to fully understand the distinct roles that I

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AB HAMID, MOHD RAMADAN, ATHIRAH SORFINA SA’ARI, NURI NAQIEYAH RADZUAN, and SITI SABARIAH BUHARI. "THE USE OF INTERNET-BASED TECHNOLOGIES IN DIETARY AND PHYSICAL ACTIVITY INTERVENTION FOR PATIENTS WITH HYPERTENSION: A SYSTEMATIC REVIEW." JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT 17, no. 12 (2022): 188–226. http://dx.doi.org/10.46754/jssm.2022.12.017.

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The Internet of Things (IoT) is widely used in Internet-based technology (IBT) interventions for hypertension management. However, little is known about the impact of IBT and how the IoT is used to manage hypertension. This article analysed the types of IBT, the features of IoT and the impact of IBT. This review included 14 articles selected from the following databases: Scopus, Web of Science, PubMed, ScienceDirect and Google Scholar. Randomised controlled trials (RCT) and quasi-experimental studies published from 2014 to 2021 in English focused on managing dietary intake and physical activit

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Arora, Pallavi, Baljeet Kaur, and Marcio Andrey Teixeira. "CYBERSECURITY IN IIOT AND IOMT NETWORKS USING MACHINE LEARNING ALGORITHMS - A SURVEY." ICTACT Journal on Communication Technology 12, no. 4 (2021): 2577–81. http://dx.doi.org/10.21917/ijct.2021.0381.

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Rapid advancements in micro-computing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have allowed for innovative Internet of Things (IoT) solutions to redefine numerous networking applications. With the emergence of IoT branches such as the Internet of Medical Things (IoMT) and the Industrial Internet of Things (IIoT), healthcare and industrial systems have been changed by IoT. This paper presents an overview of the technologies that are being used to secure IoMT as well as IIoT frameworks seen within the research articles.

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KAYODE BISOLA, NATHALIE ESSI AFEFA TAKPAH, OMOTAYO ADELEKE, and VICTOR NOSAKHARE ORIAKHI. "Enhancing healthcare IoT (H-IoT) resilience: A comprehensive review." Open Access Research Journal of Engineering and Technology 8, no. 1 (2025): 095–105. https://doi.org/10.53022/oarjet.2025.8.1.0033.

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The Internet of Things (IoT) applications are evolving from general applications to precise use cases across various industries, including healthcare, automation, military, maritime, smart cities, transportation, and logistics. In the healthcare sector, IoT-based applications have significantly improved patient assessment, monitoring, and prescription systems with seamless internet-based access. Despite these benefits, IoT applications introduce critical security challenges due to their wireless communication and open-area deployment. Patient wearable devices and other networked entities follo

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Raghunath, Mamatha Kotagi, and Vasant. "Industrial internet of things: Applications and challenges." World Journal of Advanced Research and Reviews 17, no. 2 (2023): 933–39. https://doi.org/10.30574/wjarr.2023.17.2.0210.

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The adoption and deployment of ‘Internet of Things’ (IoT) technologies are leading to architectural changes to Industrial Automation and Control System (IACS), including greater connectivity to industrial systems. Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in indu

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Hassan, Hadeel Kareem, Jameel kaduim abed, and Muthana Arzuqi Waheb. "The IoT for Healthcare Applications." IOP Conference Series: Materials Science and Engineering 1105, no. 1 (2021): 012075. http://dx.doi.org/10.1088/1757-899x/1105/1/012075.

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Falsarella, Orandi Mina, Maria Thereza Miranda de Camargo, Cibele Roberta Sugahara, Celeste Aída Sirotheau Corrêa Jannuzzi, and Duarcides Ferreira Mariosa. "Big Data and IoT applications." International Journal for Innovation Education and Research 8, no. 6 (2020): 241–54. http://dx.doi.org/10.31686/ijier.vol8.iss6.2408.

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Currently, the search for a competitive advantage is a reality in all business sectors. While several reports in the literature that address this theme, only a few discuss the relationship between competitive advantages and the implementation of Information and Communication Technologies. Thus, in the present study, we sought to investigate how the application of emerging ICTs, such as the IoT and Big Data, can provide a competitive advantage to organizations. To achieve this goal, we conducted a qualitative bibliographic survey of the literature, to identify and analyze the presently availabl

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Sanakkayala SatyaNarayana, Dr, G. V. Sai Bharath, Katakam Sri Lakshmi Sahithi, and Adusumilli Sai Rutwik. "Data Management in IOT Applications." International Journal of Engineering & Technology 7, no. 2.32 (2018): 224. http://dx.doi.org/10.14419/ijet.v7i2.32.15572.

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With the technology leaping towards a new phase the next big that is happening is IOT and managing the huge amount of data that is being produced. To apprehend the real Internet of Things in which the entirely is interconnected, direct interactions between sensors and actuators, also known as bindings, are essential. As more and more devices are getting connected to the internet there is a lot of data that is being generated. We need to maintain the quality of data and it should be manageable for future use. Consequently, in evaluation to subsisting studies on smart cities we give a informatio

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de Almeida, Ivo Bizon Franco, Luciano Leonel Mendes, Joel J. P. C. Rodrigues, and Mauro A. A. da Cruz. "5G Waveforms for IoT Applications." IEEE Communications Surveys & Tutorials 21, no. 3 (2019): 2554–67. http://dx.doi.org/10.1109/comst.2019.2910817.

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Jadhav, Ashish Madhukar. "Communication Protocols for IoT Applications." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5875–77. http://dx.doi.org/10.22214/ijraset.2024.61338.

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Abstract: The Internet of Things (IoT) can be defined as an ecosystem of interconnected devices such as sensors, microcontrollers, actuators that enable them to communicate and share information between them through internet for making the system intelligent and smart. As there is growth in IoT, communication protocols play a pivotal role in facilitating efficient, reliable, and secure data exchange between these components. Through this analysis, guidance is provided to users to choose particular protocol according to the application. Communication protocols in IoT offers a varied set of opti

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Srikanth, Kandragula. "Cloud Computing in IoT Applications." European Journal of Advances in Engineering and Technology 7, no. 1 (2020): 70–72. https://doi.org/10.5281/zenodo.13950929.

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The burgeoning Internet of Things (IoT) landscape, with its ever-increasing network of interconnected devices, generates a massive and ever-expanding stream of data. This data deluge necessitates robust solutions for storage, processing, and analysis. Cloud computing emerges as the ideal platform, offering unparalleled scalability, security, and real-time analytics capabilities. This paper explores the symbiotic relationship between cloud computing and IoT applications, highlighting the key advantages cloud computing offers and showcasing its transformative impact across various IoT domains.

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Cheralathan, P., and Prahnu S. Mr. "INTERNET OF THINGS (IOT) CHALLENGES AND APPLICATIONS." Volume 8 Issue 11 8, no. 11 (2021): 1–4. https://doi.org/10.5281/zenodo.5675148.

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With the Internet of Things (IoT) steadily developing as the resulting period of the advancement of the Internet, it becomes critical to perceive the different likely domains for utilization of IoT, and the examination challenges that are related with these applications. Going from keen urban areas, to medical care, keen farming, coordinations and retail, to try and savvy living and shrewd conditions IoT is relied upon to penetrate into for all intents and purposes all parts of daily life. Despite the fact that the current IoT empowering advances have incredibly worked on in the new years, the

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Vadlamudi, Siddhartha. "The Economics of Internet of Things: An Information Market System." Asian Business Review 11, no. 1 (2021): 35–40. http://dx.doi.org/10.18034/abr.v11i1.523.

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The Internet of Things (IoT) is one of the leading forces in modern-day technology. The concept has been proposed to be a new way of interconnecting a multiplicity of devices and rendering services to a variety of applications. According to the industry’s insiders, IoT will make it possible to link transport, energy, smart cities, and healthcare together. The purpose of this paper is to understand the economics of the Internet of Things. It is meant to shed light on how world IoT applications can affect the information market. When every sector and industry of the world has been connected via

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Siddhartha, Vadlamudi. "The Economics of Internet of Things: An Information Market System." Asian Business Review 11, no. 1 (2021): 35–40. https://doi.org/10.5281/zenodo.5534529.

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The Internet of Things (IoT) is one of the leading forces in modern-day technology. The concept has been proposed to be a new way of interconnecting a multiplicity of devices and rendering services to a variety of applications. According to the industry’s insiders, IoT will make it possible to link transport, energy, smart cities, and healthcare together. The purpose of this paper is to understand the economics of the Internet of Things. It is meant to shed light on how world IoT applications can affect the information market. When every sector and industry of the world has been connecte

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Riane, Driss, Widad Ettazi, and Mahmoud Nassar. "An Allele Based-Approach for Internet of Transactional Things Service Placement in Intelligent Edge Environments." IoT 5, no. 4 (2024): 785–800. http://dx.doi.org/10.3390/iot5040035.

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The rapid expansion of the Internet of Things (IoT) has steered in a new generation of connectivity and data-driven decision-making across diverse industrial sectors. As IoT deployments continue to expand, the need for robust and reliable data management systems at the network’s edge becomes increasingly critical, especially for time-sensitive IoT applications requiring real-time responses. This study delves into the emerging research area known as the Internet of Transactional Things (Io2T) at the edge architecture, where the integration of transactional ACID properties into IoT devices and o

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