| 应用粒子群优化分配WSN多目标跟踪节点任务 |
| |
| 引用本文： | 刘美,徐小玲,黄道平.应用粒子群优化分配WSN多目标跟踪节点任务[J].传感技术学报,2010,23(9):1334-1339. |
| |
| 作者姓名： | 刘美 徐小玲 黄道平 |
| |
| 作者单位： | 广东石油化工学院计算机与电子信息学院,广东,茂名,525000;华南理工大学自动化科学与工程学院,广州,510640;广东石油化工学院计算机与电子信息学院,广东,茂名,525000;华南理工大学自动化科学与工程学院,广州,510640 |
| |
| 基金项目： | 广东省自然科学基金项目资助，茂名市重点科技计划项目资助 |
| |
| 摘 要： | 针对WSN多目标跟踪时传感器节点任务分配竞争冲突问题,提出一种基于最近邻的离散粒子群优化节点跟踪任务分配算法.通过构建多目标多传感器节点联盟协同跟踪任务分配问题的数学模型和目标函数,采用最近邻法对粒子群节点任务分配进行初始化,以目标函数作为适应值函数指引粒子飞行,快速实现节点优化分配.实验表明:在节点覆盖较稀疏情况下,粒子群优化节点任务分配方法与最近邻方法相比,能耗大大减少,并能有效解决多目标跟踪节点任务分配冲突问题和多个监测联盟对传感器资源竞争冲突时系统能耗增加的问题.PSO算法对于实际环境的WSN多目标跟踪具有优越性.
|
| 关 键 词： | 无线传感器网络 多目标跟踪 任务分配 粒子群优化 |
Using PSO to Realize Nodes Task Allocation of Muti-Target Tracking in WSN |
| |
| LIU Mei,XU Xiaoling,HUANG Daoping.Using PSO to Realize Nodes Task Allocation of Muti-Target Tracking in WSN[J].Journal of Transduction Technology,2010,23(9):1334-1339. |
| |
| Authors: | LIU Mei XU Xiaoling HUANG Daoping |
| |
| Affiliation: | LIU Mei1,2,XU Xiaoling1,HUANG Daoping2 1.College of Computer , Electronic Information,Guangdong University of Petrochemical Technology,Maoming Guangdong 525000,China,2.College of Automation Science , Engineering,South China University of Technology,Guangzhou 510640 |
| |
| Abstract: | Aiming at the competition conflict in node task allocation of WSN Multi-target tracking,a discrete particle swarm optimization algorithm based on nearest neighbor is proposed. First,the mathematical model and objective function on multi-target tracking node task allocation is constructed. Then the node task allocation in PSO is initialized with the nearest neighbor algorithm,the objective function is taken as fitness function to guide particles flying and nodes optimal allocation can be achieved quickly. Ex... |
| |
| Keywords: | wireless sensor networks (WSN) muti-target tracking (MTT) task allocation particle swarm optimization (PSO) |
| 本文献已被 CNKI 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 |
|
