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CA4IOT: Context Awareness for Internet of Things

Perera, Charith, Zaslavsky, Arkady, Christen, Peter and Georgakopoulos, Dimitrios 2012. CA4IOT: Context Awareness for Internet of Things. Presented at: IEEE International Conference on Internet of Things (iThings 2012), Besancon, France, 20-23 November 2012. Green Computing and Communications (GreenCom), IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom). IEEE, pp. 775-782. 10.1109/GreenCom.2012.128

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Abstract

Internet 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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: IEEE
ISBN: 9781467351461
Date of First Compliant Deposit: 10 August 2020
Date of Acceptance: 5 October 2012
Last Modified: 10 Aug 2020 16:00
URI: http://orca.cf.ac.uk/id/eprint/134046

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