文献类型：期刊文献

英文题名：Adaptive directed evolved NSGA2 based node placement optimization for wireless sensor networks

作者：Zhang, Yijie[1];Liu, Mandan[2,3]

机构：[1]East China Univ Sci & Technol, 130 Meilong Rd, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Inst Automat, 130 Meilong Rd, Shanghai, Peoples R China;[3]East China Univ Sci & Technol, Dept Automat, Sch Informat Sci & Engn, 130 Meilong Rd, Shanghai, Peoples R China

年份：2020

卷号：26

期号：5

起止页码：3539

外文期刊名：WIRELESS NETWORKS

收录：;EI(收录号：20200908217780);WOS:【SCI-EXPANDED(收录号:WOS:000516297200001)】；

语种：英文

外文关键词：Wireless sensor networks; Node placement; NSGA2; Directed evolution; Adaptive

摘要：Wireless sensor network (WSN) is a wireless network composed of a large number of static or mobile sensors in a self-organizing and multi-hop manner. In WSN research, node placement is one of the basic problems. In view of the coverage, energy consumption and the distance of node movement, an improved multi-objective optimization algorithm based on NSGA2 is proposed in this paper. The proposed algorithm is used to optimize the node placement of WSN. The proposed algorithm can optimize both the node coverage and lifetime of WSN while also considering the moving distance of nodes, so as to optimize the node placement of WSN. The experiments show that the improved NSGA2 has improvements in both searching performance and convergence speed when solving the node placement problem.