3-D Terrains Deployment of Wireless Sensors Network by Utilizing Parallel Gases Brownian Motion Optimization,ERICDATA高等教育知識庫
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篇名
3-D Terrains Deployment of Wireless Sensors Network by Utilizing Parallel Gases Brownian Motion Optimization
並列篇名
3-D Terrains Deployment of Wireless Sensors Network by Utilizing Parallel Gases Brownian Motion Optimization
作者 Min GaoJeng-Shyang PanJian-po LiZi-pei ZhangQing-Wei Chai
英文摘要
With the development of Wireless Sensor Network (WSN), more and more researchers pay their attention to the deployment of sensor nodes, especially for the coverage of WSN in three dimension space. However, getting the maximum for coverage rate in WSN quickly and accurately is still a front issue. Firstly, this paper proposes a modified GBMO algorithm combining with the concept of parallel, so that the time efficiency and convergency improve to a large extend, and the search for global optimum is capable of getting faster. Then, the improvement in search and convergency efficiency of proposed PGBMO is demonstrated according to 23 benchmark functions composed of unimodal, multimodal and fixed-dimension function. Finally, a novel WSN 3-D terrain deployment scheme optimized by PGBMO is proposed to improve the coverage of the network. Experimental results demonstrate that the performance on the coverage of WSN gets efficient improvement compared to traditional particle swarm optimization (PSO) and original GBMO.
起訖頁 013-029
關鍵詞 Gases Brownian motion optimizationParallel gases Brownian motion optimizationSensor deploymentWireless sensor network
刊名 網際網路技術學刊  
期數 202101 (22:1期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021012201002   複製DOI
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