Research on Improved Particle Swarm Optimization Algorithm in WSN Routing

被引：0
|
作者：
Cheng, Xiaohui [1 ,2 ]
Tong, Huihui [1 ,2 ]
机构：
[1] Guilin Univ Technol, Coll Informat Sci & Engn, Guilin 541000, Peoples R China
[2] Guangxi Key Lab Embedded Technol & Intelligent Sy, Jiangan Rd 12, Guilin 541000, Peoples R China
来源：
2019 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING (ICIIP 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Wireless Sensor Network; Particle Swarm Optimization; Chaotic Perturbation Mechanism; Energy Balance;
D O I：
10.1145/3378065.3378150
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aiming at the problems of wireless sensor network (WSN) routing optimization algorithm, an improved chaotic perturbation PSO algorithm is proposed. Firstly, the improved inertia weight is used to balance the global search ability and local search ability of the particle. The chaotic perturbation mechanism is added to improve the convergence speed, reduce the number of invalid searches, and avoid the waste of node energy by selecting the unrelated path. The simulation results show that the optimization algorithm can find the optimal path more quickly and efficiently, reduce network consumption and improve WSN routing efficiency.
引用
收藏
页码：451 / 454
页数：4
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