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Advances in Computer and Communication

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Article Open Access http://dx.doi.org/10.26855/acc.2024.10.001

Node Selection Methods Among Distributed Devices for Wireless Consensus

Sungho Lee*, Inoh Chu, Jaeuk Kwon

ICT Convergence Research Division/Future Mobile Communication Research Center, Gumi Electronics and Information Technology Research Institute (GERI), Gumi 39171, South Korea.

*Corresponding author: Sungho Lee

Published: September 18,2024

Abstract

As numerous services and applications are developed within wireless networks, a significant number of wireless devices in future 6G networks are expected to communicate and exchange data with one another to collaboratively make reliable decisions based on the data collected in distributed environments. To address security issues in these environments, blockchain technology has been introduced to ensure data integrity and consistency. Furthermore, to overcome the low performance and scalability challenges associated with blockchain, research has actively focused on wireless consensus and node selection to facilitate fast and reliable decision-making among wireless devices. However, the methods for designating participating nodes in wireless consensus have not been thoroughly analyzed, resulting in performance degradation during the consensus process. Therefore, in this paper, we analyze the consensus failure probability (CFP) and the total communication trials (TCT) for varying numbers of selected nodes using different node selection methods in wireless consensus, specifically reliability-based node selection and average successful transmission probability (STP)-based node selection. We then explore strategies to reduce both the CFP and TCT in wireless consensus.

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How to cite this paper

Node Selection Methods Among Distributed Devices for Wireless Consensus

How to cite this paper: Sungho Lee, Inoh Chu, Jaeuk Kwon. (2024) Node Selection Methods Among Distributed Devices for Wireless Consensus. Advances in Computer and Communication5(4), 205-209.

DOI: http://dx.doi.org/10.26855/acc.2024.10.001