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一种有向传感器网络改进粒子群覆盖增强算法
引用本文:顾晓燕,孙力娟,郭剑,肖甫.一种有向传感器网络改进粒子群覆盖增强算法[J].重庆邮电学院学报(自然科学版),2011(2).
作者姓名:顾晓燕  孙力娟  郭剑  肖甫
作者单位:江苏信息职业技术学院计算机工程系;南京邮电大学计算机学院;
基金项目:中国博士后科学基金(20090451240); 江苏省六大人才高峰项目(2008118); 江苏省博士后科研资助计划基金(0801019C); 南京邮电大学青蓝计划资助项目(NY207084)~~
摘    要:优化传感器网络覆盖对于合理分配网络的空间资源、更好地完成信息感知和采集任务、提高网络的生存能力都具有重要的意义。在分析传感器节点有向感知模型的基础上,提出了一种有向传感器网络改进粒子群覆盖增强算法。该算法针对随机部署有向传感器网络,以网络区域覆盖率为优化目标,采用改进的多步式位置可选择更新粒子群优化算法,通过调整传感器节点的主感方向,减少网络感知重叠区和感知盲区,实现覆盖增强。仿真实验表明,该算法简单、高效,优于传统的覆盖增强算法。

关 键 词:有向传感器网络  有向感知模型  覆盖增强  粒子群算法  

An improved particle swarm optimization algorithm for coverage enhancement in directional sensor networks
GU Xiao-yan,SUN Li-juan,GUO Jian,XIAO Fu.An improved particle swarm optimization algorithm for coverage enhancement in directional sensor networks[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2011(2).
Authors:GU Xiao-yan  SUN Li-juan  GUO Jian  XIAO Fu
Institution:GU Xiao-yan1,2,SUN Li-juan2,GUO Jian2,XIAO Fu2(1.Department of Computer Engineering,Jiangsu College of Information Technology,Wuxi 214101,P.R.China,2.School of Computer Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R.China)
Abstract:The coverage optimization of sensor networks is of great importance in such areas as rationally allocating of channel resources of the network,better sensing and gathering information and lengthening of the network viability.In this paper,the directional sensing model of sensor nodes is analyzed and an improved particle swarm optimization algorithm for coverage enhancement in directional sensor networks is proposed.To optimize the network coverage rate,a multi-step position-selectable updating particle swar...
Keywords:directional sensing networks  directional sensing model  coverage enhancement  particle swarm optimization  
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