Smart City Gnosys

Smart city article details

Title	Context Design And Tracking For Iot-Based Energy Management In Smart Cities
ID_Doc	15913
Authors	Kamienski, CA; Borelli, FF; Biondi, GO; Pinheiro, I; Zyrianoff, ID; Jentsch, M
Year	2018
Published	IEEE INTERNET OF THINGS JOURNAL, 5, 2
DOI	http://dx.doi.org/10.1109/JIOT.2017.2748037
Abstract	The advent of the Internet of Things (IoT) and its innumerous applications for Smart Cities emphasizes the need for context-aware systems able to adapt behavior automatically to instant environment conditions. Currently, there is a gap in terms of understanding how context information is interrelated, as well as tracking which events occurred under which conditions within certain context scopes. Visualizing, specifying, tracking and monitoring typical contexts involved in IoT-based applications are still challenging activities since context modeling remains a low level process that requires much human expertise. In this paper we propose a new context life cycle that involves context design and context tracking. We developed a context-aware management framework, where contexts are modeled as graphs and can be explicitly designed and their occurrences can be tracked down. We believe that this feature of designing and tracking context graphs may help developers, administrators, and end-users in harnessing the wealth of information generated by highly scalable IoT systems.
Author Keywords	Context-aware management; Internet of Things (IoT); Smart Cities; smart energy management

Similar Articles

Id	Similarity	Authors	Title	Published
5137	0.885	Almagrabi A.O.; Al-Otaibi Y.D.	A Survey Of Context-Aware Messaging-Addressing For Sustainable Internet Of Things (Iot)	Sustainability (Switzerland), 12, 10 (2020)
53084	0.881	Medvedev, A; Zaslavsky, A; Indrawan-Santiago, M; Haghighi, PD; Hassani, A	Storing And Indexing Iot Context For Smart City Applications	INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2016/USMART 2016, 9870 (2016)
54471	0.869	Bazan-Muñoz A.; Ortiz G.; Augusto J.C.; Garcia-de-Prado A.	Taxonomy And Software Architecture For Real-Time Context-Aware Collaborative Smart Environments	Internet of Things (Netherlands), 26 (2024)
35253	0.862	Kannadasan T.	Lightweight Contextual Llms For Iot Data Interpretation In Smart Cities	Proceedings of International Conference on Visual Analytics and Data Visualization, ICVADV 2025 (2025)
49490	0.857	Nikolaou I.; Anthopoulos L.	Smart Cities As Hubs: A Use Case In Public School Buildings	Buildings, 14, 2 (2024)
1073	0.856	Aiello G.; Camillo A.; Del Coco M.; Giangreco E.; Pinnella M.; Pino S.; Storelli D.	A Context Agnostic Air Quality Service To Exploit Data In The Ioe Era	2019 4th International Conference on Smart and Sustainable Technologies, SpliTech 2019 (2019)
15934	0.856	Hamrouni A.; Khanfor A.; Ghazzai H.; Massoud Y.	Context-Aware Service Discovery: Graph Techniques For Iot Network Learning And Socially Connected Objects	IEEE Access, 10 (2022)
1076	0.853	Ben Sada A.; Naouri A.; Khelloufi A.; Dhelim S.; Ning H.	A Context-Aware Edge Computing Framework For Smart Internet Of Things	Future Internet, 15, 5 (2023)
6219	0.851	Manchanda A.; Jayaraman P.P.; Banerjee A.; Fizza K.; Zaslavsky A.	Adaptive Context Monitoring Framework For Enhancing Caching Efficiency In Context Management Platforms	IEEE Access, 12 (2024)