重庆邮电大学学报（自然科学版）2011，Vol.23Issue(2)：214-219,6.DOI:10.3979/j.issn.1673-825X.2011.02.017
一种有向传感器网络改进粒子群覆盖增强算法
An improved particle swarm optimization algorithm for coverage enhancement in directional sensor networks
摘要
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 swarm optimization algorithm is introduced. Targeting at randomly deployed directional sensor networks, the proposed algorithm adjusts the major sensing direction of the sensing nodes, reduces the sensing overlapping regions and coverage holes, and accomplishes coverage enhancement. A set of simulation experiments are performed to demonstrate that the proposed algorithm is simple, efficient and superior to the traditional coverage-enhancing algorithms.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Key words
directional sensing networks/ directional sensing model/ coverage enhancement/ particle swarm optimization分类
信息技术与安全科学引用本文复制引用
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].重庆邮电大学学报（自然科学版）,2011,23(2):214-219,6.基金项目
中国博士后科学基金(20090451240) （20090451240）
江苏省六大人才高峰项目(2008118) （2008118）
江苏省博士后科研资助计划基金(0801019C) （0801019C）
南京邮电大学青蓝计划资助项目(NY207084) （NY207084）
