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

doi:10.1109/lsens.2024.3488652

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

Sensors and Smart Systems

Research output: Contribution to journal › Article › Academic › peer-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 language	English
Pages (from-to)	1-4
Journal	IEEE Sensors Letters
Volume	8
Issue number	12
DOIs	https://doi.org/10.1109/lsens.2024.3488652
Publication status	Published - 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

Access to Document

10.1109/lsens.2024.3488652

https://ieeexplore.ieee.org/document/10739917

Cite this

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title = "Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization",

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.",

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author = "Islam, {Khan Md Mazedul} and Deters, {Jan Kleine} and Ewout Bergsma and Rocha, {Helder R Oliveira} and Patrick Noordhoek and Heinrich W{\"o}rtche and {Lima Silva}, J.A. and {Da Silva Costa}, Wesley",

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AU - Islam, Khan Md Mazedul

AU - Deters, Jan Kleine

AU - Bergsma, Ewout

AU - Rocha, Helder R Oliveira

AU - Noordhoek, Patrick

AU - Wörtche, Heinrich

AU - Lima Silva, J.A.

AU - Da Silva Costa, Wesley

PY - 2024/12/1

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N2 - 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.

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KW - mesh networks

KW - message systems

KW - power consumption

KW - power demand

KW - reliability

KW - routing protocols

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KW - wireless sensor networks

KW - berichtensysteem

KW - betrouwbaarheid

KW - draadloze sensornetwerken

KW - energiegebruik

KW - energievraag

KW - instructiesets

KW - mesh-netwerken

KW - routingprotocollen

KW - topologie

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

Abstract

Keywords

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

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

Publinova themes

Access to Document

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