Smart City Gnosys

Smart city article details

Title	An Architectural Reference Model For Iot Device Management
ID_Doc	7618
Authors	Grüdl D.; Wieland T.; Nicklas D.
Year	2024
Published	Proceedings - IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things, iThings 2024, IEEE Green Computing and Communications, GreenCom 2024, IEEE Cyber, Physical and Social Computing, CPSCom 2024, IEEE Smart Data, SmartData 2024
DOI	http://dx.doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics62450.2024.00062
Abstract	Smart homes, smart cities, smart farms, and smart factories fostered the development of a wide variety of IoT devices. The different requirements of each domain lead to a heterogeneous IoT ecosystem utilizing a multitude of technologies. A vital part of every IoT solution is the management of its devices. This includes device registration, message monitoring, and adjusting device behavior. These management features are often implemented in use case-specific processes that only apply to single technology stacks. More complex use cases that combine different devices, networks, and applications often rely on middleware for device management. Previously proposed approaches that aim to simplify device management are often limited to single use cases, management features, or devices. In this paper we propose an architectural reference model that overcomes these limitations for the management of IoT devices. Our model combines the management features of five distinct IoT device types that we defined by their processing and connectivity capabilities. The IoT device types are based on recommendation Y. 4460 of the International Telecommunication Union (ITU). Additionally, we implemented a proof of concept of our architectural reference model to demonstrate its usefullness in a real world scenario. © 2024 IEEE.
Author Keywords	device management; Internet of things; middleware; sensor networks

Similar Articles

Id	Similarity	Authors	Title	Published
32982	0.884	Sousa N.R.; Pinto G.P.; Prazeres C.V.S.	Internet Of Things Devices Management For Smart Cities	International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings (2025)
2493	0.883	Silva D.; Heideker A.; Zyrianoff I.D.; Kleinschmidt J.H.; Roffia L.; Soininen J.-P.; Kamienski C.A.	A Management Architecture For Iot Smart Solutions: Design And Implementation	Journal of Network and Systems Management, 30, 2 (2022)
36301	0.877	Huang J.; Hua K.	Managing The Internet Of Things: Architectures, Theories And Applications	Managing the Internet of Things: Architectures, theories and applications (2016)
32107	0.867	Olivieri A.C.; Bocchi Y.; Rizzo G.	Integration In The Internet Of Things: A Semantic Middleware Approach To Seamless Integration Of Heterogeneous Technologies	Pervasive Computing: Next Generation Platforms for Intelligent Data Collection (2016)
2298	0.866	Gaudio D.D.; Reichel M.; Hirmer P.	A Life Cycle Method For Device Management In Dynamic Iot Environments	IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security (2020)
47333	0.863	Rajput D.S.; Lalotra G.S.; Kumar V.; Kumar P.; Patel H.	Scalable Modeling And Efficient Management Of Iot Applications	Scalable Modeling and Efficient Management of IoT Applications (2024)
5344	0.86	Kohan S.; Johnstone L.; Cetinkaya D.	A Survey On The Model-Centered Approaches To Conceptual Modeling Of Iot Systems	Frontiers in Computer Science, 5 (2023)
25474	0.86	Pranavasri V.J.S.; Francis L.; Pal G.; Mogadali U.; Vattem A.; Vaidhyanathan K.; Gangadharan D.	Exploratory Study Of Onem2M-Based Interoperability Architectures For Iot: A Smart City Perspective	Proceedings - IEEE 21st International Conference on Software Architecture Companion, ICSA-C 2024 (2024)
36766	0.855	Jayawardene N.; Fernando P.	Metadata Model For Supporting Hierarchical Edge Device Arrangements In An Iot Deployment	Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 (2020)
32895	0.853	Zikria Y.B.; Kim S.W.; Hahm O.; Afzal M.K.; Aalsalem M.Y.	Internet Of Things (Iot) Operating Systems Management: Opportunities, Challenges, And Solution	Sensors (Switzerland), 19, 8 (2019)