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CA4IOT: Context Awareness for Internet of Things
conference contribution
posted on 2013-02-25, 00:00 authored by Charith Perera, Arkady ZaslavskyArkady Zaslavsky, Peter Christen, Dimitrios GeorgakopoulosInternet of Things (IoT) will connect billions of sensors deployed around the world together. This will create an ideal opportunity to build a sensing-as-a-service platform. Due to large number of sensor deployments, there would be number of sensors that can be used to sense and collect similar information. Further, due to advances in sensor hardware technology, new methods and measurements will be introduced continuously. In the IoT paradigm, selecting the most appropriate sensors which can provide relevant sensor data to address the problems at hand among billions of possibilities would be a challenge for both technical and non-technical users. In this paper, we propose the Context Awareness for Internet of Things (CA4IOT) architecture to help users by automating the task of selecting the sensors according to the problems/tasks at hand. We focus on automated configuration of filtering, fusion and reasoning mechanisms that can be applied to the collected sensor data streams using selected sensors. Our objective is to allow the users to submit their problems, so our proposed architecture understands them and produces more comprehensive and meaningful information than the raw sensor data streams generated by individual sensors.
History
Event
GreenCom - Green Computing and Communications. IEEE International Conference (2012 :Pagination
775 - 782Publisher
IEEELocation
Besançon, FrancePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2012-11-20End date
2012-11-23ISBN-13
9780769548654Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2012, IEEETitle of proceedings
GreenCom + CPSCom 2012 : Proceedings of IEEE/ACM International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social ComputingUsage metrics
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