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Sensor discovery and configuration framework for the Internet of Things paradigm

Perera, Charith, Jayaraman, Prem Prakash, Zaslavsky, Arkady, Georgakopoulos, Dimitrios and Christen, Peter 2014. Sensor discovery and configuration framework for the Internet of Things paradigm. Presented at: 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, South Korea, 6-8 March 2014. 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, pp. 94-99. 10.1109/WF-IoT.2014.6803127

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Abstract

Internet of Things (IoT) will comprise billions of devices that can sense, communicate, compute and potentially actuate. The data generated by the Internet of Things are valuable and have the potential to drive innovative and novel applications. The data streams coming from these devices will challenge the traditional approaches to data management and contribute to the emerging paradigm of big data. One of the most challenging tasks before collecting and processing data from these devices (e.g. sensors) is discovering and configuring the sensors and the associated data streams. In this paper, we propose a tool called SmartLink that can be used to discover and configure sensors. Specifically, SmartLink, is capable of discovering sensors deployed in a particular location despite their heterogeneity (e.g. different communication protocols, communication sequences, capabilities). SmartLink establishes the direct communication between the sensor hardware and cloud-based IoT middleware. We address the challenge of heterogeneity using a plugin architecture. Our prototype tool is developed on the Android platform. We evaluate the significance of our approach by discovering and configuring 52 different types of Libelium 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: 9781479934591
Date of First Compliant Deposit: 11 August 2020
Date of Acceptance: 23 December 2013
Last Modified: 11 Aug 2020 13:15
URI: http://orca.cf.ac.uk/id/eprint/134060

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