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Journal articles on the topic 'IoT Middleware'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Elkhodr, Mahmoud, Samiya Khan, and Ergun Gide. "A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness." Future Internet 16, no. 1 (2024): 22. http://dx.doi.org/10.3390/fi16010022.

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In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring data security and user trust, is pivotal. This paper proposes a novel Semantic IoT Middleware (SIM) for healthcare. The architecture of this middleware comprises the following main processes: data generation, semantic annotation, security encryption, and semantic operations. The data generation module facilitates seamless data and event sourcing,

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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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Fremantle, Paul, and Philip Scott. "A survey of secure middleware for the Internet of Things." PeerJ Computer Science 3 (May 8, 2017): e114. http://dx.doi.org/10.7717/peerj-cs.114.

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The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose

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Park and Park. "A Cloud-based Middleware for Self-Adaptive IoT-Collaboration Services." Sensors 19, no. 20 (2019): 4559. http://dx.doi.org/10.3390/s19204559.

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The middleware framework for IoT collaboration services should provide efficient solutions to context awareness and uncertainty issues among multiple collaboration domains. However, existing middleware frameworks are mostly limited to a single system, and developing self-adaptive IoT collaboration services using existing frameworks requires developers to take considerable time and effort. Furthermore, the developed IoT collaboration services are often dependent on a particular domain, which cannot easily be referenced in other domains. This paper proposes a cloud-based middleware framework tha

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Medeiros, Rodolfo, Sílvio Fernandes, and Paulo G. G. Queiroz. "Middleware for the Internet of Things: a systematic literature review." JUCS - Journal of Universal Computer Science 28, no. 1 (2022): 54–79. http://dx.doi.org/10.3897/jucs.71693.

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The Internet of Things (IoT) emerged to describe a network of connected things on a large scale to offer services to a large number of applications in different environments and domains. Middleware is software that seeks to facilitate the management and communication of all these things, providing the necessary functionalities to manage things, to discover, to compose services, and perform communication. For this reason, several proposals for middleware solutions for IoT have been developed. In this article, we conducted a systematic review of the literature to bring together middleware soluti

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Medeiros, Rodolfo, Sílvio Fernandes, and Paulo G. G. Queiroz. "Middleware for the Internet of Things: a systematic literature review." JUCS - Journal of Universal Computer Science 28, no. (1) (2022): 54–79. https://doi.org/10.3897/jucs.71693.

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The Internet of Things (IoT) emerged to describe a network of connected things on a large scale to offer services to a large number of applications in different environments and domains. Middleware is software that seeks to facilitate the management and communication of all these things, providing the necessary functionalities to manage things, to discover, to compose services, and perform communication. For this reason, several proposals for middleware solutions for IoT have been developed. In this article, we conducted a systematic review of the literature to bring together middleware soluti

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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

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Kolekar, Vikas K., Meet Oswal, Yash Wankhade, Gayatri Shirke, Archana Sondur, and Prajwal Wable. "Smart City IoT Data Management with Proactive Middleware." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (2023): 319–29. http://dx.doi.org/10.17762/ijritcc.v11i5s.6754.

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With the increased emergence of cloud-based services, users are frequently perplexed as to which cloud service to use and whether it will be beneficial to them. The user must compare various services, which can be a time-consuming task if the user is unsure of what they might need for their application. This paper proposes a middleware solution for storing Internet of Things (IoT) data produced by various sensors, such as traffic, air quality, temperature, and so on, on multiple cloud service providers depending on the type of data. Standard cloud computing technologies become insufficient to

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Park, Jong-Hyun. "An Intelligent Service Middleware Based on Sensors in IoT Environments." International Journal of Software Engineering and Knowledge Engineering 30, no. 04 (2020): 523–36. http://dx.doi.org/10.1142/s0218194020400033.

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In Internet of Things (IoT) environment, a number of sensors and devices exist and they have various and heterogeneous characteristics. Applications which provide a variety of services based on the sensors also have different service requirements. Therefore, a middleware that is located between sensors and application systems is needed for integrating two layers. This paper proposes a general purpose middleware for providing intelligent services based on heterogeneous sensors existing in IoT environment. The proposed middleware acquires and manages sensing data in real time. The middleware sto

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Taveras, Pedro. "A Systematic Exploration on Challenges and Limitations in Middleware Programming for IoT Technology." International Journal of Hyperconnectivity and the Internet of Things 2, no. 2 (2018): 1–20. http://dx.doi.org/10.4018/ijhiot.2018070101.

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In a distributed environment, such as IoT, the requirement for constant sensing and actuating from a diverse source of devices increases the complexity and therefore, the operational cost of the software required to keep the system running. The article covers the conceptual and technological aspects, together with a series of previous experiences, findings, and literature that constitute the essence of the body of knowledge related to the issues and challenges for developing a middleware that supports the IoT domain's independent functionality. The article provides the foundation to understand

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Senožetnik, Matej, Zala Herga, Tine Šubic, et al. "IoT Middleware for Water Management." Proceedings 2, no. 11 (2018): 696. http://dx.doi.org/10.3390/proceedings2110696.

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Groundwater management is important for all urban systems. Thus, data needs to be available on request for various decision-makers and stakeholders. This article presents conceptual and implemented framework for collecting, analyzing and sharing of groundwater data for various purposes. It allows controlled access to data that is continuously collected from different feeds and transformed into a common format. With this approach, the latest data as well as historical records are always available for real-time queries and further analysis. The proposed system can be extended to cover other area

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da Cruz, Mauro A. A., Joel J. P. C. Rodrigues, Arun Kumar Sangaiah, Jalal Al-Muhtadi, and Valery Korotaev. "Performance evaluation of IoT middleware." Journal of Network and Computer Applications 109 (May 2018): 53–65. http://dx.doi.org/10.1016/j.jnca.2018.02.013.

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Gomes, Rafael Lopes. "Middleware IoT para Monitoramento Ambiental." Computação Brasil, no. 40 (July 1, 2019): 37–40. http://dx.doi.org/10.5753/compbr.2019.40.468.

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Pramukantoro, Eko Sakti, Fariz Andri Bakhtiar, Ahmad Lutfi Bayu Aji, and Deny Hari Prasetya Dewa. "Implementasi Mekanisme End-To-End Security pada IoT Middleware." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 3 (2019): 335. http://dx.doi.org/10.25126/jtiik.2019631401.

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<p class="Abstrak">Pada penelitian sebelumnya telah dikembangkan sebuah <em>middleware</em> dengan pendekatan <em>event-driven</em> yang mampu mendukung interoperabilitas berbagai macam perangkat sensor pada lingkungan IoT. Namun, skema komunikasi pada <em>middleware</em> tersebut masih terdapat celah keamanan dan menimbulkan ancaman berupa <em>eavasdropping</em>. Solusi dari permasalahan ini adalah menerapakan mekanisme <em>end-to-end security</em>. Dalam penelitian ini dilakukan penerapan algoritme kriptografi AES-CBC 128 pada

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Yun, Jaeseok, Il-Yeup Ahn, JaeSeung Song, and Jaeho Kim. "Implementation of Sensing and Actuation Capabilities for IoT Devices Using oneM2M Platforms." Sensors 19, no. 20 (2019): 4567. http://dx.doi.org/10.3390/s19204567.

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In this paper, we present an implementation work of sensing and actuation capabilities for IoT devices using the oneM2M standard-based platforms. We mainly focus on the heterogeneity of the hardware interfaces employed in IoT devices. For IoT devices (i.e., Internet-connected embedded systems) to perform sensing and actuation capabilities in a standardized manner, a well-designed middleware solution will be a crucial part of IoT platform. Accordingly, we propose an oneM2M standard-based IoT platform (called nCube) incorporated with a set of tiny middleware programs (called TAS) responsible for

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A., Karim Mohamed Ibrahim, A. Rashid Rozeha, Hadi Fikri A. Hamid A., Adib Sarijari M., and Ariff Baharudin Muhammad. "Lightweight IoT middleware for rapid application development." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1385–92. https://doi.org/10.12928/TELKOMNIKA.v17i3.11793.

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Sensors connected to the cloud services equipped with data analytics has created a plethora of new type of applications ranging from personal to an industrial level forming to what is known today as Internet of Things (IoT). IoT-based system follows a pattern of data collection, data analytics, automation, and system improvement recommendations. However, most applications would have its own unique requirements in terms of the type of the smart devices, communication technologies as well as its application provisioning service. In order to enable an IoT-based system, various services are commer

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Wang, Feng, Liang Hu, Jin Zhou, and Kuo Zhao. "A Data Processing Middleware Based on SOA for the Internet of Things." Journal of Sensors 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/827045.

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The Internet of Things (IoT) emphasizes on connecting every object around us by leveraging a variety of wireless communication technologies. Heterogeneous data fusion is widely considered to be a promising and urgent challenge in the data processing of the IoT. In this study, we first discuss the development of the concept of the IoT and give a detailed description of the architecture of the IoT. And then we design a middleware platform based on service-oriented architecture (SOA) for integration of multisource heterogeneous information. New research angle regarding flexible heterogeneous info

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Trisnawan, Primantara Hari, Fariz Andri Bakhtiar, and Eko Sakti Pramukantoro. "Developing Actor-Based Middleware as Collector System for Sensor Data in Internet of Things (IoT)." Journal of Information Technology and Computer Science 5, no. 1 (2020): 1. http://dx.doi.org/10.25126/jitecs.202051101.

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The use of Internet of Things (IoT) plays an important role in supporting wireless communication for middleware in collecting data sensors. An actor-based middleware is designed to bridge protocol differences between cloud and sensor nodes. This middleware also acts as an initiator in accessing data from several sensor nodes, and then sending data that has been collected to the cloud. Incorporating the differences of communication protocols and data formats between sensor nodes and cloud is the responsibility of middleware. This Middleware acts as an actor by acting proactively accessing data

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Gazis, Alexandros, and Eleftheria Katsiri. "IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation." International Journal of Circuits, Systems and Signal Processing 15 (December 23, 2021): 1790–802. http://dx.doi.org/10.46300/9106.2021.15.193.

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Map-Reduce is a programming model and an associated implementation for processing and generating large data sets. This model has a single point of failure: the master, who coordinates the work in a cluster. On the contrary, wireless sensor networks (WSNs) are distributed systems that scale and feature large numbers of small, computationally limited, low-power, unreliable nodes. In this article, we provide a top-down approach explaining the architecture, implementation and rationale of a distributed fault-tolerant IoT middleware. Specifically, this middleware consists of multiple mini-computing

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Yan, Yan, Zhi Fang Xu, and Xun Zhu. "A Middleware of IoT-Based Smart Home Based on Service." Applied Mechanics and Materials 507 (January 2014): 182–86. http://dx.doi.org/10.4028/www.scientific.net/amm.507.182.

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This paper presents a Middleware of IoT-based smart home, which based on SOA (Service Oriented Architecture) and overcome the problems of sharing family service information and integrating heterogeneous systems. The middleware tries to form a system framework, which is workable, easily integrated, SOA-based loose coupling and conformed to the standard of family service information exchange. In this framework, the middleware, who plays the role of family service bus, becomes communication component of family service that based on SOA infrastructure, supports services, messaging, and web-based s

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Pramukantoro, Eko Sakti, and Fariz Andri Bakhtiar. "Cloud-based Middleware for Syntactical Interoperability in Internet of Things." Journal of Information Technology and Computer Science 5, no. 1 (2020): 32. http://dx.doi.org/10.25126/jitecs.202051148.

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Heterogeneity of protocol communications, data formats, data structure, and hardware specifications on the Internet of things can lead to an Interoperability problem. The solution provides middleware that capable to work in heterogeneity communications, data formats, etc. This paper proposed. A cloud-based middleware that provides a communication interface to receive data from sensor nodes based on Restful and CoAP. Received data then stored in heterogenous IoT data storage based on the NoSQL database. From experiment and testing, interoperability testing methodology was used. The result shows

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Kim, Yujin, Soobin Jeon, and Inbum Jung. "Weather Ontology System in IoT Middleware." Journal of KIISE 46, no. 1 (2019): 97–108. http://dx.doi.org/10.5626/jok.2019.46.1.97.

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Jin, Wenquan, and DoHyeun Kim. "A Sleep-Awake Scheme Based on CoAP for Energy-Efficiency in Internet of Things." JOIV : International Journal on Informatics Visualization 1, no. 4 (2017): 110. http://dx.doi.org/10.30630/joiv.1.4.37.

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Internet Engineering Task Force (IETF) have developed Constrained Application Protocol (CoAP) to enable communication between sensor or actuator nodes in constrained environments, such as small amount of memory, and low power. IETF CoAP and HTTP are used to monitor or control environments in Internet of Things (IoT) and Machine-to-Machine (M2M). In this paper, we present a sleep-awake scheme based on CoAP for energy efficiency in Internet of Things. This scheme supports to increase energy efficiency of IoT nodes using CoAP protocol. We have slightly modified the IoT middleware to improve CoAP

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Ferere, David, Irvin Dongo, and Yudith Cardinale. "SAAQ: A Characterization Method for Distributed Servers in Ubicomp Environments." Sensors 22, no. 17 (2022): 6688. http://dx.doi.org/10.3390/s22176688.

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The increasing evolution of computing technologies has fostered the new intelligent concept of Ubiquitous computing (Ubicomp). Ubicomp environments encompass the introduction of new paradigms, such as Internet of Things (IoT), Mobile computing, and Wearable computing, into communication networks, which demands more efficient strategies to deliver tasks and services, considering heterogeneity, scalability, reliability, and efficient energy consumption of the connected devices. Middlewares have a crucial role to deal with all these aspects, by implementing efficient load balancing methods based

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Trivedi, Navin Kumar, and Dr Girish V. Chowdhary. "Middleware Architectures for IoT: Enhancing Interoperability and Scalability." International Journal of Basic and Applied Sciences 14, no. 2 (2025): 211–18. https://doi.org/10.14419/5ndney78.

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This paper proposes a middleware architecture that will help in enhancing the IoT systems’ interoperability, ‎scalability, and security. It consists of a Protocol Translation Layer, Microservices Layer, and Intelligent Load ‎Balancer, and Python and Docker for containerization. The system also consists of a protocol converter ‎between MQTT, CoAP, and HTTP, and assists in distributed data processing. The middleware was tested under ‎different traffic conditions, and it was observed that the middleware has 37. 5% less latency and 66%. 7% higher ‎throughput than the traditional solutions with 50

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Mondal, Shalmoly, Prem Prakash Jayaraman, Pari Delir Delir Haghighi, Alireza Hassani, and Dimitrios Georgakopoulos. "Situation-Aware Iot Data Generation towards Performance Evaluation of Iot Middleware Platforms." Sensors 23, no. 1 (2022): 7. http://dx.doi.org/10.3390/s23010007.

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With the increasing growth of IoT applications in various sectors (e.g., manufacturing, healthcare, etc.), we are witnessing a rising demand of IoT middleware platform that host such IoT applications. Hence, there arises a need for new methods to assess the performance of IoT middleware platforms hosting IoT applications. While there are well established methods for performance analysis and testing of databases, and some for the Big data domain, such methods are still lacking support for IoT due to the complexity, heterogeneity of IoT application and their data. To overcome these limitations,

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Gazis, Alexandros, and Eleftheria Katsiri. "Streamline Intelligent Crowd Monitoring with IoT Cloud Computing Middleware." Sensors 24, no. 11 (2024): 3643. http://dx.doi.org/10.3390/s24113643.

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This article introduces a novel middleware that utilizes cost-effective, low-power computing devices like Raspberry Pi to analyze data from wireless sensor networks (WSNs). It is designed for indoor settings like historical buildings and museums, tracking visitors and identifying points of interest. It serves as an evacuation aid by monitoring occupancy and gauging the popularity of specific areas, subjects, or art exhibitions. The middleware employs a basic form of the MapReduce algorithm to gather WSN data and distribute it across available computer nodes. Data collected by RFID sensors on v

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Gamal, Islam, Hala Abdel-Galil, and Atef Ghalwash. "Osmotic Message-Oriented Middleware for Internet of Things." Computers 11, no. 4 (2022): 56. http://dx.doi.org/10.3390/computers11040056.

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IoT is a trending computational concept that converts almost everything in modern life into a smart thing in various innovational and outstanding approaches. Smart homes, connected cities, autonomous vehicles, industrial automation, and smart healthcare that allows doctors to perform a patient examination and enable executing a remote surgery are now applicable through the smart connected things. Moreover, the recent IoT analytics report expects the universal number of connected IoT things to grow by 9%, to 12.3 billion operating terminals. It is expected that there will be more than 27 billio

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Eko, Sakti Pramukantoro, Luckies Maxi, and Andri Bakhtiar Fariz. "Bridging IoT infrastructure and cloud application using cellular-based internet gateway device." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1439–46. https://doi.org/10.12928/TELKOMNIKA.v17i3.12229.

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An Internet of Things (IoT) middleware can solve interoperability problem among “things” in IoT infrastructure by collecting data. However, the sensor nodes’ data that is collected by the middleware cannot be directly delivered to cloud applications since the sensor nodes and the middleware are located in intranet. A solution to this problem is an Internet Gateway Device (IGD) that retrieves data from the middleware in intranet then forwards them to cloud applications in the internet. In this study, an IGD based on cellular network is proposed to provide wide-coverage interne

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Chaczko, Zenon, Ryszard Klempous, Jerzy Rozenblit, et al. "Biomimetic Middleware Design Principles for IoT Infrastructures." Acta Polytechnica Hungarica 17, no. 5 (2020): 135–50. http://dx.doi.org/10.12700/aph.17.5.2020.5.7.

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Ibrahim, A. Karim Mohamed, Rozeha A. Rashid, A. Hadi Fikri A. Hamid, M. Adib Sarijari, and Muhammad Ariff Baharudin. "Lightweight IoT middleware for rapid application development." TELKOMNIKA (Telecommunication Computing Electronics and Control) 17, no. 3 (2019): 1385. http://dx.doi.org/10.12928/telkomnika.v17i3.11793.

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Ayoade, Gbadebo, Amir El-Ghamry, Vishal Karande, Latifur Khan, Mohammed Alrahmawy, and Magdi Zakria Rashad. "Secure data processing for IoT middleware systems." Journal of Supercomputing 75, no. 8 (2018): 4684–709. http://dx.doi.org/10.1007/s11227-018-2686-x.

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Czauski, Thaddeus, Jules White, Yu Sun, Hamilton Turner, and Sean Eade. "NERD—middleware for IoT human machine interfaces." Annals of Telecommunications 71, no. 3-4 (2015): 109–19. http://dx.doi.org/10.1007/s12243-015-0486-3.

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Nay, Min Htaik, Aye Maung Maung Nyein, and Zaw Win. "Improvement of an Interoperable and Adaptable Middleware using IoT Semantic Web Technologies." International Journal of Computer (IJC) Volume. 28, No. 01 (2018): pp. 101–111. https://doi.org/10.5281/zenodo.3132621.

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In today changing world, Internet of Things (IoT) is creating a new world, where people and businesses can make more timely and better informed decisions about what they want or need to do. Over the last years, agriculture industry in few countries has been expended to smart agriculture. Nevertheless, the agricultural industry in Myanmar needs to be modernized with the involvement of IoT technologies for crops’ growth monitoring, irrigation decision and harvesting system. However, due to the complexity of IoT middleware, most of the middleware frameworks are designed to be used by IT exp

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Lee, Hae-Jun. "Dynamic Context Awareness of Universal Middleware based for IoT SNMP Service Platform." Tehnički glasnik 17, no. 2 (2023): 185–91. http://dx.doi.org/10.31803/tg-20221221115431.

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This study focused on the Universal Middleware design for the IoT (Internet of Things) service gateway for the implementation module of the convergence platform. Recently, IoT service gateway including convergence platform could be supported on dynamic module system that is required mounting and recognized intelligent status with the remote network protocol. These awareness concepts support the dynamic environment of the cross-platform distributed computing technology is supported by these idea as a Universal Middleware for network substitution. Distribution system commonly used in recent embe

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Symeonaki, Eleni, Konstantinos G. Arvanitis, Dimitrios Piromalis, Dimitrios Tseles, and Athanasios T. Balafoutis. "Ontology-Based IoT Middleware Approach for Smart Livestock Farming toward Agriculture 4.0: A Case Study for Controlling Thermal Environment in a Pig Facility." Agronomy 12, no. 3 (2022): 750. http://dx.doi.org/10.3390/agronomy12030750.

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Integrated farm management (IFM) is promoted as a whole farm approach toward Agriculture 4.0, incorporating smart farming technologies for attempting to limit livestock production’s negative impacts on the environment while increasing productivity with regard to the economic viability of rural communities. The Internet of Things (IoT) may serve as an enabler to ensure key properties—such as interconnectivity, scalability, agility, and interoperability—in IFM systems so that they could provide object-based services while adapting to dynamic changes. This paper focuses on the problem of facilita

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Alghazzawi, Daniyal, Ghadah Aldabbagh, and Abdullah Saad AL-Malaise AL-Ghamdi. "ScaleUp: middleware for intelligent environments." PeerJ Computer Science 7 (June 22, 2021): e545. http://dx.doi.org/10.7717/peerj-cs.545.

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The development of the Internet of Things (IoT) expands to an ultra-large-scale, which provides numerous services across different domains and environments. The use of middleware eases application development by providing the necessary functional capability. This paper presents a new form of middleware for controlling smart devices installed in an intelligent environment. This new form of middleware functioned seamlessly with any manufacturer API or bespoke controller program. It acts as an all-encompassing top layer of middleware in an intelligent environment control system capable of handlin

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Ali, Omer, Mohamad Khairi Ishak, Muhammad Kamran Liaquat Bhatti, Imran Khan, and Ki-Il Kim. "A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface." Sensors 22, no. 3 (2022): 995. http://dx.doi.org/10.3390/s22030995.

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The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides an array of innovative applications and services. IoT networks enable the integration of data and services to seamlessly interconnect the cyber and physical systems. However, the heterogeneity of devices, underlying technologies and lack of standardization pose critical challenges in this domain. On account of these challenges, this research article aims to provide a comprehensive overview of the enabling technologies and standards that build up the IoT technology stack. First, a layered architecture ap

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Kalaithasan, Keshihakumar, N. A. M. Radzi, and H. Z. Abidin. "Internet of Things Application in Monitoring Sick Building Syndrome." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 505. http://dx.doi.org/10.11591/ijeecs.v12.i2.pp505-512.

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Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In

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Keshihakumar, Kalaithasan, A. M. Radzi N., and Z. Abidin H. "Internet of Things Application in Monitoring Sick Building Syndrome." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 505–12. https://doi.org/10.11591/ijeecs.v12.i2.pp505-512.

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Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In

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Ouedraogo, Clovis Anicet, Samir Medjiah, Christophe Chassot, and Khalil Drira. "Enhancing Middleware-based IoT Applications through Run-Time Pluggable QoS Management Mechanisms. Application to a oneM2M compliant IoT Middleware." Procedia Computer Science 130 (2018): 619–27. http://dx.doi.org/10.1016/j.procs.2018.04.112.

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Borges, Pedro Victor, Chantal Taconet, Sophie Chabridon, et al. "Mastering Interactions with Internet of Things Platforms through the IoTVar Middleware." Proceedings 31, no. 1 (2019): 78. http://dx.doi.org/10.3390/proceedings2019031078.

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The rising popularity of the Internet of Things (IoT) has led to a plethora of highly heterogeneous, geographically dispersed devices. In recent years, IoT platforms have been used to provide a variety of services to applications such as device discovery, context management, and data analysis. However, the lack of standardization currently means that each IoT platform comes with its own abstractions, APIs, and interactions. As a consequence, programming the interactions between an application and an IoT platform is often time consuming, error prone, and depends on the developers’ level of know

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Hamsen, Billy, and Indrastanti R. Widiasari. "Rancang Bangun Perangkat Lunak IoT Gateway dari Field ke Cloud Berbasis Protocol Komunikasi MQTT." AITI 19, no. 1 (2022): 1–15. http://dx.doi.org/10.24246/aiti.v19i1.1-15.

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Internet of things (IoT) ialah bagian terpenting pada pertumbuhan internet di dunia pada masa ini, penerapan pada IoT memperoleh bermacam-macam media penyimpanan pada data atau file yang akan berkembang menjadi sangat besar, dan akan mempengaruhi penyimpanan file yang kemudian mengakibatkan pertumpukan pada data. Riset ini betujuan untuk mengembangkan protokol Message Queuing Telemetry Transport (MQTT) ialah salah satu aturan yang bekerja pada stack TCP/IP serta diprogram khusus dalam machine to machine. Cara kerja MQTT melakukan Publish serta Subscribe data perangkat dapat terkoneksi kepada s

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Jeon, Soobin, Youngtak Han, Chungshan Lee, Dongmahn Seo, and Inbum Jung. "IoT Middleware for Effective Operation in Heterogeneous Things." KIISE Transactions on Computing Practices 23, no. 9 (2017): 517–34. http://dx.doi.org/10.5626/ktcp.2017.23.9.517.

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Chengjia Huo, Ting-Chou Chien, and Pai H. Chou. "Middleware for IoT-Cloud Integration Across Application Domains." IEEE Design & Test 31, no. 3 (2014): 21–31. http://dx.doi.org/10.1109/mdat.2014.2314602.

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Aazam, Mohammad, and Eui-Nam Huh. "Fog Computing: The Cloud-IoT\/IoE Middleware Paradigm." IEEE Potentials 35, no. 3 (2016): 40–44. http://dx.doi.org/10.1109/mpot.2015.2456213.

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Alamri, Abdullah. "Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems." Computers 7, no. 4 (2018): 51. http://dx.doi.org/10.3390/computers7040051.

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Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare IoT sensor technology obtains health-related data from patients, it needs to be integrated with the electronic healthcare records (EHR) system. Most EHR systems have not been designed for integration with IoT technology; they have been designed to be more patient-centric management systems. The use of the IoT in EHR remains a long-term goal. Configuring IoT in EHR can enhance patient healthcare, enabling health providers to monitor their

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Shin, Seung-Hyeok. "Study on Component-Based Middleware for IoT Service Scalability." Journal of Korea Navigation Institute 19, no. 4 (2015): 330–37. http://dx.doi.org/10.12673/jant.2015.19.4.330.

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Alqahtani, Ali, Abdulaziz A. Alsulami, Nayef Alqahtani, Badraddin Alturki, and Bandar M. Alghamdi. "A Comprehensive Security Framework for Asymmetrical IoT Network Environments to Monitor and Classify Cyberattack via Machine Learning." Symmetry 16, no. 9 (2024): 1121. http://dx.doi.org/10.3390/sym16091121.

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The Internet of Things (IoT) is an important component of the smart environment, which produces a large volume of data that is considered challenging to handle. In addition, the IoT architecture is vulnerable to many cyberattacks that can target operational devices. Therefore, there is a need for monitoring IoT traffic to analyze, detect malicious activity, and classify cyberattack types. This research proposes a security framework to monitor asymmetrical network traffic in an IoT environment. The framework offers a network intrusion detection system (NIDS) to detect and classify cyberattacks,

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Ahmed, Ahmed Abdelmoamen. "An Actor-Based Formal Model and Runtime Environment for Resource-Bounded IoT Services." Algorithms 15, no. 11 (2022): 390. http://dx.doi.org/10.3390/a15110390.

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With sensors becoming increasingly ubiquitous, there is tremendous potential for Internet of Things (IoT) services that can take advantage of the data collected by these sensors. Although there are a growing number of technologies focused on IoT services, there is relatively limited foundational work on them. This is partly because of the lack of precise understanding, specification, and analysis of such services, and, consequently, there is limited platform support for programming them. In this paper, we present a formal model for understanding and enabling reasoning about distributed IoT ser

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