A Reconfigurable Strategy for Internet-of-Things for Smart Buildings
Paper
Paper/Presentation Title | A Reconfigurable Strategy for Internet-of-Things for Smart Buildings |
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Presentation Type | Paper |
Authors | Yang, Xichun, Maiti, Ananda and Kist, Alexander |
Journal or Proceedings Title | Proceedings of the 20th International Conference on Remote Engineering and Virtual Instrumentation (REV2023) |
Journal Citation | 763, p. 781–794 |
Number of Pages | 13 |
Year | 2024 |
Publisher | Springer |
Place of Publication | Switzerland |
ISBN | 9783031424670 |
9783031424663 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-42467-0_74 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-031-42467-0_74 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-031-42467-0 |
Conference/Event | 20th International Conference on Remote Engineering and Virtual Instrumentation (REV2023) |
Event Details | 20th International Conference on Remote Engineering and Virtual Instrumentation (REV2023) Parent International Conference on Remote Engineering and Virtual Instrumentation Delivery In person Event Date 01 to end of 03 Mar 2023 Event Location Thessaloniki, Greece Event Venue Porto Palace Hotel Event Web Address (URL) |
Abstract | The Internet of Things (IoT) is being used for various applications where data is collected over time. The data generated in time series is then analyzed to establish patterns, identify problems, and make different decisions. The amount and quality of data generated this way depend on the IoT system’s configuration. If the configurations are left static, the IoT systems can consume excess resources, e.g., battery or network infrastructure, to produce a quantity of data or not produce quality data. This paper proposes an approach to reconfigure IoT systems dynamically to consume relatively lower resources while still generating acceptable quality of data fit for an application. Configuration can include several parameters, e.g., frequency of data collection, spatial orientation, and authentication. We first propose a generic reconfiguration framework and then mainly discuss the time aspect of reconfiguration in this paper. In this approach, the frequency of data collection is dynamically altered depending on the current data being generated and the predicted future data points. We show that given an absolute maximum frequency where the quality of the output data set is the best and a minimum frequency for an IoT device in a system where the resource consumption is lowest, the dynamic reconfigurable IoT approach can operate with optimized time gaps, still producing good quality data. The proposed approach uses a Smart Building IoT system as a case study. |
Keywords | Internet of Things; Smart Buildings; Anomaly detection ; Predictive analysis |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460603. Cyberphysical systems and internet of things |
Public Notes | The accessible file is the accepted version of the paper. Please refer to the URL for the published version. |
Series | Lecture Notes in Networks and Systems |
Byline Affiliations | University of Tasmania |
University of Southern Queensland |
https://research.usq.edu.au/item/z325y/a-reconfigurable-strategy-for-internet-of-things-for-smart-buildings
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