通过遗传算法优化改善线程网格网络的功耗

IF 2.2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Letters Pub Date : 2024-10-30 DOI:10.1109/LSENS.2024.3488652
Jair A.Lima Silva;Wesley Costa;Khan Md Mazedul Islam;Jan Kleine Deters;Ewout Bergsma;Helder R. Oliveira Rocha;Patrick Noordhoek;Heinrich Wörtche
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引用次数: 0

摘要

可靠性是低功耗无线连接的一个制约因素,通常通过部署网状拓扑结构来解决。因此,在此类网络的设计和实施过程中,功耗成为一个主要问题。因此,本研究采用了单目标优化方法,以降低基于 Thread 协议的低功耗无线网状网络的总功耗。优化程序采用遗传算法,考虑了预定义的连接矩阵,其中考虑了所有网络设备之间的可能距离。概念验证实验表明,在特定场景下可实现 26.45 dB 的平均增益。通过实验结果,我们得出结论:Thread 网状协议在满足无线传感器网络的低功耗要求方面有很大的余地。
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Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization
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 predefined 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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来源期刊
IEEE Sensors Letters
IEEE Sensors Letters Engineering-Electrical and Electronic Engineering
CiteScore
3.50
自引率
7.10%
发文量
194
期刊最新文献
Front Cover IEEE Sensors Council Information Table of Contents IEEE Sensors Letters Subject Categories for Article Numbering Information IEEE Sensors Letters Publication Information
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