A Survey on Consensus Algorithms for Distributed Wireless Networks

Jun Cheng Ji, Chan Tong Lam, Benjamin Ng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A distributed wireless communication system consists of multiple nodes. Due to the diversified resources and environmental conditions for each node, a consensus-based algorithm can be used to solve the conflicts in the wireless communication system so that each node can reach a consensus based on a consistent algorithm and a consistent result. In particular, the channel quality, signal strength, energy consumption, protocol delay, security, and reliability can be improved. Consensus algorithms can also be applied for channel decision-making, authentication problems, message routing problems, and fault tolerance problems. Consensus algorithms are becoming essential for safe and more reliable wireless communication systems. Focusing on consensus algorithms from the perspective of wireless communication applications, the survey compares current trends and emerging research opportunities in consensus algorithms. Finally, we provide future research directions for consensus algorithms for distributed wireless networks.

Original languageEnglish
Title of host publicationInternational Conference Optoelectronic Information and Optical Engineering, OIOE 2024
EditorsYang Yue, Lu Leng
PublisherSPIE
ISBN (Electronic)9781510688193
DOIs
Publication statusPublished - 2025
Event2024 International Conference Optoelectronic Information and Optical Engineering, OIOE 2024 - Wuhan, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13513
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2024 International Conference Optoelectronic Information and Optical Engineering, OIOE 2024
Country/TerritoryChina
CityWuhan
Period18/10/2420/10/24

Keywords

  • Block Chain
  • Consensus Algorithm
  • Distributed Computing
  • Federated Learning
  • Wireless Communication

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