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 View0.885Almagrabi 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 View0.881Medvedev, A; Zaslavsky, A; Indrawan-Santiago, M; Haghighi, PD; Hassani, AStoring And Indexing Iot Context For Smart City ApplicationsINTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2016/USMART 2016, 9870 (2016)
54471 View0.869Bazan-Muñoz A.; Ortiz G.; Augusto J.C.; Garcia-de-Prado A.Taxonomy And Software Architecture For Real-Time Context-Aware Collaborative Smart EnvironmentsInternet of Things (Netherlands), 26 (2024)
35253 View0.862Kannadasan T.Lightweight Contextual Llms For Iot Data Interpretation In Smart CitiesProceedings of International Conference on Visual Analytics and Data Visualization, ICVADV 2025 (2025)
49490 View0.857Nikolaou I.; Anthopoulos L.Smart Cities As Hubs: A Use Case In Public School BuildingsBuildings, 14, 2 (2024)
1073 View0.856Aiello 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 Era2019 4th International Conference on Smart and Sustainable Technologies, SpliTech 2019 (2019)
15934 View0.856Hamrouni A.; Khanfor A.; Ghazzai H.; Massoud Y.Context-Aware Service Discovery: Graph Techniques For Iot Network Learning And Socially Connected ObjectsIEEE Access, 10 (2022)
1076 View0.853Ben Sada A.; Naouri A.; Khelloufi A.; Dhelim S.; Ning H.A Context-Aware Edge Computing Framework For Smart Internet Of ThingsFuture Internet, 15, 5 (2023)
6219 View0.851Manchanda A.; Jayaraman P.P.; Banerjee A.; Fizza K.; Zaslavsky A.Adaptive Context Monitoring Framework For Enhancing Caching Efficiency In Context Management PlatformsIEEE Access, 12 (2024)