基于遗传优化策略的传感器配置算法  

Sensor Placement Algorithm Based on Genetic Optimized Strategy

作　　者：张海燕[1] 任倩倩[2] 

机构地区：[1]佳木斯大学信息电子技术学院,黑龙江佳木斯154007 [2]黑龙江大学计算机科学技术学院,黑龙江哈尔滨150080

出　　处：《佳木斯大学学报（自然科学版）》2011年第1期61-64,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：黑龙江省教育厅科学技术研究项目(11531276);佳木斯大学科研项目(L2008-050)

摘　　要：传感器配置是传感器网络研究的核心问题之一.传感器网络配置可以有效布置传感器网络节点、合理覆盖感知数据区域、延长感知区域传感器网络的运行周期,既能够准确地采集感知区域的数据信息,又能够充分管理传感器网络资源.本文提出了在传感区域中一个有效的基于遗传算法策略的的传感器配置算法,算法目标在于优化传感器数量并且确定它们的位置以支持分布式传感器网络.实验结果表明这种算法非常有效.Sensor placement is one of the key topics addressed in sensor networks,which can place nodes of sensor networks effectively,cover the field for sensing data reasonably and prolong running lifetime for sensor networks.It can not only collect data accurately for sensing field,but also manage the resource adequately for sensor networks.In this paper,an effective sensor placement algorithm based on genetic algorithm strategy on the sensing area was proposed,which is aimed to optimize the number of sensors and determine their position to support distributed sensor networks.Experimental results show that this algorithm is effective.

关 键 词：传感器网络 配置算法 感知区域 检测概率 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]