首页 | 本学科首页   官方微博 | 高级检索  
     

基于新量子遗传算法的无线传感器网络感知节点的分布优化
引用本文:付华,韩爽.基于新量子遗传算法的无线传感器网络感知节点的分布优化[J].传感技术学报,2008,21(7).
作者姓名:付华  韩爽
作者单位:辽宁工程技术大学电气与控制工程学院,辽宁,葫芦岛,125105
基金项目:辽宁省科技厅资助项目,辽宁省高校创新团队项目
摘    要:无线传感器网络中,感知节点的合理分布对于提高网络的感知能力和收集信息能力都具有重要作用。对于随机分布方式产生的感知网络,可以利用节点的移动性对特定感知节点的位置进行调整从而改善网络整体的感知覆盖范围。为此,针对无线传感器网络感知节点的分布优化问题进行了研究,给出了无线传感器网络覆盖控制模型,并提出了一种基于新量子遗传算法的分布优化机制。仿真结果表明新量子遗传算法在优化性能上优于传统遗传算法,能够有效提高网络整体的感知能力。

关 键 词:无线传感器网络  感知节点分布优化  新量子遗传算法  覆盖度

Optimal sensor node distribution based on the new quantum genetic algorithm
Fuhu,Hanshuang.Optimal sensor node distribution based on the new quantum genetic algorithm[J].Journal of Transduction Technology,2008,21(7).
Authors:Fuhu  Hanshuang
Affiliation:Rsearch Center for control theory and control engineering, Liaoning Engineering Technology University ,Huludao105125, china
Abstract:In the wireless sensor networks,the reasonable distribution of sensor nodes plays a vital role in the improvement of sensor ability,information aggregation ability and network survival.For the Sensor network constructed by randomly distribution,better sensor coverage could be achieved by topology adjustment utilizing mobility of sensor node.To solve this problem we defined a coverage control model of the sensors network and a distribution optimization mechanism that based on the new quantum genetic algorithm was proposed.An advantage of the new quantum genetic algorithm over the conventional genetic algorithm was demonstrated in simulation result,thus it can enhance the sensation ability of the whole network effectively.
Keywords:wireless sensor network  optimization of sensation node distribution  new quantum genetic algorithm  degree of coverage
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《传感技术学报》浏览原始摘要信息
点击此处可从《传感技术学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号