传感技术学报2012，Vol.25Issue(1)：110-113,4.DOI:10.3969/j.issn.1004-1699.2012.01.022
基于分布式动态簇结构的WSN自适应目标跟踪算法
Adaptive Target Tracking Based on Distributed Dynamic Cluster in WSN
刘立阳 1张金成 1吴中林1
作者信息
- 1. 空军工程大学导弹学院,陕西三原 713800
- 折叠
摘要
Abstract
Target tracking is an important question in WSN's application study. It is difficult to make a quick and accurate target tracking with low energy consumption under the condition that the sensor notes are random distributed. In order to reduce energy consumption and raise tracking stability, the article puts forward an adjustment algorithm which has an adaptive tracking sampling period based on distributed dynamic cluster and paralleled particle filter algorithm. The emulation result shows that the method meets the need of rapid, accurate and energy-saving tracking and possesses practical application value.关键词
无线传感器网络/目标跟踪/动态簇结构/粒子滤波/ACPFKey words
wireless sensor network/target tracking/dynamic cluster/particle filter/ACPF分类
信息技术与安全科学引用本文复制引用
刘立阳,张金成,吴中林..基于分布式动态簇结构的WSN自适应目标跟踪算法[J].传感技术学报,2012,25(1):110-113,4.
