Decision-Tree Based Transceiver Selection for Medium Access Control in Wireless Sensor Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationThe 12th International Conference on ICT Convergence
Place of PublicationRamada Plaza Hotel, Jeju Island, Korea
Number of pages6
Publication statusPublished - 20 Oct 2021
EventThe 12th International Conference on ICT Convergence - Jeju Island, Korea, Republic of
Duration: 20 Oct 202122 Oct 2021


ConferenceThe 12th International Conference on ICT Convergence
Abbreviated titleICTC2021
Country/TerritoryKorea, Republic of
Internet address

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