Chau, Arnold, Dawson, John orcid.org/0000-0003-4537-9977 and Mitchell, Paul D orcid.org/0000-0003-0714-2581 (2021) Decision-Tree Based Transceiver Selection for Medium Access Control in Wireless Sensor Networks. In: The 12th International Conference on ICT Convergence. The 12th International Conference on ICT Convergence, 20-22 Oct 2021 , KOR
Abstract
The primary contribution of this paper lies in evaluating the potential benefits of using decision tree based transceiver selection algorithms for multi-hub wireless sensor networks (WSNs) to improve network performance and stability. The classification algorithm helps improve network throughput and reduce unnecessary transceiver handovers by considering multiple decision factors, without any additional hardware complexity at the sensor nodes. The algorithms allow the nodes to use information included in the reference messages from the transceivers, and the Receiver Signal Strength Indicator (RSSI) as decision factors. This paper demonstrates the effectiveness of decision tree based algorithms (Decision Tree and Random Forest) through simulation, and the results show that this approach can enhance throughput and provide extra stability to the WSN in the scenarios considered, compared to traditional approach using distance or RSSI.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE 2021. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 29 Sep 2021 07:50 |
Last Modified: | 22 Jan 2025 00:29 |
Status: | Published |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178588 |
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