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

被引:0
作者
Silva, Jair Adriano Lima [1 ]
Costa, Wesley [1 ]
Khan, Md Mazedul Islam [1 ]
Deters, Jan Kleine [1 ]
Bergsma, Ewout [1 ]
Rocha, Helder [2 ]
Noordhoek, Patrick [3 ]
Wortche, Heinrich [1 ,4 ]
机构
[1] Hanze Univ Appl Sci, Sensors & Smart Syst Grp, NL-9747 AS Groningen, Netherlands
[2] Fed Univ Espirito Santo UFES, LabTel, BR-29075910 Goiabeiras, Brazil
[3] Nord Semicond, NL-5595 AC Leende, Netherlands
[4] Eindhoven Univ Technol, Dept Elect Engn, NL-5612 AZ Eindhoven, Netherlands
关键词
Sensor networks; Internet-of-Things (IoT); optimization; power consumption; Thread network protocol; wireless connectivity; BUILDING AUTOMATION; INTERNET;
D O I
10.1109/LSENS.2024.3488652
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:4
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