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Gaur, Aditya, Scotney, Bryan, Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132 and McClean, Sally
(2015)
Evidential Sensor Data Fusion in a Smart City Environment.
Open Journal of Internet Of Things, 1 (2).
1–18.
Abstract
Wireless sensor networks have increasingly become contributors of very large amounts of data. The recent deployment of wireless sensor networks in Smart City infrastructures have led to very large amounts of data being generated each day across a variety of domains, with applications including environmental monitoring, healthcare monitoring and transport monitoring. The information generated through the wireless sensor nodes has made possible the visualization of a Smart City environment for better living. The Smart City offers intelligent infrastructure and cogitative environment for the elderly and other people living in the Smart society. Different types of sensors are present that help in monitoring inhabitants’ behaviour and their interaction with real world objects. To take advantage of the increasing amounts of data, there is a need for new methods and techniques for effective data management and analysis, to generate information that can assist in managing the resources intelligently and dynamically. Through this research a Smart City ontology model is proposed, which addresses the fusion process related to uncertain sensor data using semantic web technologies and Dempster-Shafer uncertainty theory. Based on the information handling methods, such as Dempster-Shafer theory (DST), an equally weighted sum operator and maximization operation, a higher level of contextual information is inferred from the low-level sensor data fusion process. In addition, the proposed ontology model helps in learning new rules that can be used in defining new knowledge in the Smart City system.
| Item Type: | Article |
|---|---|
| Additional Information: | Published under the Creative Commons Attribution License |
| Uncontrolled Keywords: | sdg 11 - sustainable cities and communities ,/dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI |
| Depositing User: | Pure Connector |
| Date Deposited: | 08 Nov 2016 16:00 |
| Last Modified: | 10 Dec 2024 01:28 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/61269 |
| DOI: | 10.19210/OJIOT_2015v1i2n02_Gaur |
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