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Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization

Khan Md Mazedul Islam, Jan Kleine Deters, Ewout Bergsma, Helder R Oliveira Rocha, Patrick Noordhoek, Heinrich Wörtche, J.A. Lima Silva, Wesley Da Silva Costa

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Reliability is a constraint of low-power wireless connectivity, commonly addressed by the deployment of mesh topology. Accordingly, power consumption becomes a major concern during the design and implementation of such networks. Thus, a mono-objective optimization was implemented in this work to decrease the total amount of power consumed by a low-power wireless mesh network based on Thread protocol. Using a genetic algorithm, the optimization procedure takes into account a pre-defined connectivity matrix, in which the possible distances between all network devices are considered. The experimental proof-of-concept shows that a mean gain of 26.45 dB is achievable in a specific scenario. Through our experimental results, we conclude that the Thread mesh protocol has much leeway to meet the low-power consumption requirement of wireless sensor networks.
Original languageEnglish
Pages (from-to)1-4
JournalIEEE Sensors Letters
Volume8
Issue number12
DOIs
Publication statusPublished - 1 Dec 2024

Keywords

  • instruction sets
  • mesh networks
  • message systems
  • power consumption
  • power demand
  • reliability
  • routing protocols
  • topology
  • wireless sensor networks

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

  • Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

  • Artificial Intelligence
  • Cyberfysical systems

Publinova themes

  • ICT and Media
  • Health
  • Technology

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