文献类型：期刊文献

英文题名：Node Placement Optimization of Wireless Sensor Networks Using Multi-Objective Adaptive Degressive Ary Number Encoded Genetic Algorithm

作者：Zhang, Yijie[1];Liu, Mandan[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2020

卷号：13

期号：8

外文期刊名：ALGORITHMS

收录：EI(收录号：20203509111141);WOS:【ESCI(收录号:WOS:000567341800001)】；

基金：The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Fundamental Research Funds for the Central Universities, 222201917006.

语种：英文

外文关键词：wireless sensor networks; node placement; a fast non-dominated sorted genetic algorithm (NSGA2); degressive ary number; adaptive

摘要：The wireless sensor network (WSN) has the advantages of low cost, high monitoring accuracy, good fault tolerance, remote monitoring and convenient maintenance. It has been widely used in various fields. In the WSN, the placement of node sensors has a great impact on its coverage, energy consumption and some other factors. In order to improve the convergence speed of a node placement optimization algorithm, the encoding method is improved in this paper. The degressive ary number encoding is further extended to a multi-objective optimization problem. Furthermore, the adaptive changing rule of ary number is proposed by analyzing the experimental results of theN-ary number encoded algorithm. Then a multi-objective optimization algorithm adopting the adaptive degressive ary number encoding method has been used in optimizing the node placement in WSN. The experiments show that the proposed adaptive degressive ary number encoded algorithm can improve both the optimization effect and search efficiency when solving the node placement problem.