Application of genetic algorithm in optimal sensor placement

HU Jiang-hua; CHANG Xin-long; LI Jin-jun; HE Xiang-yong

doi:10.13873/j.1000-97872008.03.019

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Application of genetic algorithm in optimal sensor placement

更新时间：2025-09-11

- Application of genetic algorithm in optimal sensor placement
- Issue 3, Pages: 109-110+113(2008)
- 作者机构：
  
  1. 第二炮兵工程学院
  2. 第二炮兵工程学院,陕西,西安,710025
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.03.019
  CLC： TP18;TP212
- Published：2008
- 稿件说明：
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[1]胡江华,常新龙,李进军,何相勇.遗传算法在传感器优化配置中的应用[J].传感器与微系统,2008(03):109-110+113.

HU Jiang-hua, CHANG Xin-long, LI Jin-jun, et al. Application of genetic algorithm in optimal sensor placement[J]. 2008, (3): 109-110+113.
[1]胡江华,常新龙,李进军,何相勇.遗传算法在传感器优化配置中的应用[J].传感器与微系统,2008(03):109-110+113. DOI： 10.13873/j.1000-97872008.03.019.

HU Jiang-hua, CHANG Xin-long, LI Jin-jun, et al. Application of genetic algorithm in optimal sensor placement[J]. 2008, (3): 109-110+113. DOI： 10.13873/j.1000-97872008.03.019.

摘要

针对于传感器网络中传感器配置问题

在保证局部网络损坏的情况下仍能进行检测

提高检测网络的可靠性

提出了用遗传算法对其进行优化

并设计了该遗传算法的计算步骤和其相应的适应度函数程序。计算了一个实例

得出了较好的配置方式

满足了传感网络可靠性的要求

说明了用遗传算法进行传感器优化配置是可行的。

Abstract

Aimed at sensor placement in sensor network

on condition that part of the network is disable

it can check and measure

and the reliability of the network is improved

optimization for it is put forward using genetic algorithm

and this genetic algorithm process and correspond fitness function are designed.An example is educed

a good placement fashion is computed

the demand of the sensor network reliability is met

it shows that the genetic algorithm applied in sensor placement is feasible.

关键词

Keywords

references

基于遗传算法的传感器优化配置 [J]. 黄维平,刘娟,李华军. 工程力学 . 2005(01)

大范围低成本传感器配置算法的研究 [D]. 张海燕. 黑龙江大学 2006

MATLAB遗传算法工具箱及应用[M]. 西安电子科技大学出版社 , 雷英杰等编著, 2005

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