Research on Particle Swarm Optimization Strategy for Forest Fire Detection System Based on Wireless Sensor Networks

被引：2

作者：

Lin Zhu-liang ^{[1
]}

Ma Shi-ping ^{[1
]}

Tao Zuo-ying ^{[2
]}

机构：

[1] Zhejiang Normal Univ, Res Ctr Elect Automat, Jinhua 321004, Zhejiang, Peoples R China

[2] Jinhua Adv Tech Sch, Jinan 321017, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

wireless sensor networks; particle swarm optimization; forest fire; effective coverage rate; optimization strategy;

D O I：

10.1109/CCDC.2009.5192733

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the network performance, to increase network coverage rate, to achieve the maximization of network coverage and extend the network of life in the forest fire detection system, the present research has proposed a Wireless Sensor Networks (WSNs) coverage Particle Swarm Optimization (PSO) strategy on the basis of probability measuring model. Through the PSO,the strategy achieves coverage control for the optimization objectives of network coverage rate and analyzes the effect of coverage performance about sensing radius. The coverage rate has increased and convergence rate has speeded up with perceived radius increased gradually. The simulation shows that effective coverage has reached 85.63 percent. Compared with the Conventional Genetic Algorithms (CGA) about the optimization effectiveness, the coverage rate has increased by 0.64 percent and the convergence rate has increased 13.7 percent Therefore, the PSO strategy has a better coverage optimization results than CGA.

引用

页码：3608 / +

页数：2