Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks

被引：86

作者：

Du, Zhi-Gang ^{[1
]}

Pan, Jeng-Shyang ^{[1
]}

Chu, Shu-Chuan ^{[1
]}

Luo, Han-Jiang ^{[1
]}

Hu, Pei ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

英国科研创新办公室;

关键词：

PSO; P-PSO; QUATRE; RSSI; WSN; MM-QUATRE; bad point update; LOCALIZATION; STRATEGY;

D O I：

10.1109/ACCESS.2020.2964783

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization algorithm based on population for complex multiple real parameter optimization problems in real world. In this paper, a novel multi-group multi-choice communication strategy algorithm for QUasi-Affine TRansformation Evolutionary (MM-QUATRE) algorithm is proposed to solve the disadvantage that the original QUATRE is always easily to fall into local optimization in the strategy of updating bad nodes with multiple groups and multiple choices. We compared it with other intelligent algorithms, the most advanced PSO variant, parallel PSO (P-PSO) variant, native QUATRE and parallel QUATRE (P-PSO) under CEC2013 large-scale optimization test suite. Thus, the performance of MM-QUATRE was verified. The conclusion that the MM-QUATRE algorithm is superior to other intelligent algorithms is proved by the experimental results. In addition, the application results of MM-QUATRE algorithm (MM-QUATRE-RSSI) based on RSSI in WSN node localization were analyzed and studied. The results appear that this method has higher localization accuracy than other similar algorithms.

引用

页码：8583 / 8594

页数：12

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