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Title: The Elimination-Selection Based Algorithm for Efficient Resource Discovery in Internet of Things Environments
Authors: Nunes, LH
Estrella, JC
Perera, C
Reiff-Marganiec, S
Delbem, ACB
First Published: 19-Mar-2018
Presented at: 15th IEEE Annual Consumer Communications and Networking Conference (CCNC), Las Vegas, NV
Start Date: 12-Jan-2018
End Date: 15-Jan-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018
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.
DOI Link: 10.1109/CCNC.2018.8319280
ISSN: 2331-9852
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2018, Institute of Electrical and Electronics Engineers (IEEE). Deposited with reference to the publisher’s open access archiving policy. (
Description: The file associated with this record has been temporarily withdrawn at the request of the author.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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