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The elimination-selection based algorithm for efficient resource discovery in Internet of Things environments

Nunes, Luiz H., Estrella, Julio C., Perera, Charith, Reiff-Marganiec, Stephan and Delbem, Alexandre C. B. 2018. The elimination-selection based algorithm for efficient resource discovery in Internet of Things environments. Presented at: 15th IEEE Annual Consumer Communications & Networking Conference (CCNC 2018), Las Vegas, NV, USA, 12-15 Janurary 2018. 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). pp. 1-7. 10.1109/CCNC.2018.8319280

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Abstract

Every day more and more objects are connected to the Internet to sense or actuate in some environment, composing the Internet of Things. IoT platforms will play a key role, as they will be responsible for managing low-level devices and data acquisition processes, and also support the development of new applications. One of the main challenges in IoT platforms will be the search and discovery of resources in large-scale and heterogeneous environments for reuse by other applications to support their specific requirements. In this paper, we propose an elimination-selection algorithm for search and discovery of resources in IoT environments. Our case study considers a real agricultural problem to be solved by the ViSIoT tool. The results show that our approach improves the quality of the proposed solution adding a small time overhead when compared to the TOPSIS algorithm used by ViSIoT.

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
ISBN: 9781538647905
ISSN: 2331-9860
Last Modified: 11 Aug 2020 15:15
URI: http://orca.cardiff.ac.uk/id/eprint/134090

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