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基于预测的动态分簇目标跟踪算法

向智 郭松涛

计算机应用研究2013,Vol.30Issue(3):848-852,5.
计算机应用研究2013,Vol.30Issue(3):848-852,5.DOI:10.3969/j.issn.1001-3695.2013.03.053

基于预测的动态分簇目标跟踪算法

Prediction-based dynamic clustering target tracking

向智 1郭松涛1

作者信息

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摘要

Abstract

The most important challenge in target tracking was how to reduce the nodes' energy consumption and prolong network lifetime while guaranteeing a higher tracking accuracy. To solve the above problem, this paper proposed a prediction-based dynamic clustering target tracking algorithm ( Pre-DC). The algorithm first established a dynamic cluster, and then used the particle filter method to track the target in the current cluster, and finally updated the cluster according to prediction error. This method not only reduced the cluster' s energy consumption, but also improved the tracking accuracy. The simulation result shows that the proposed algorithm can obtain a good tracking accuracy even if the less sensor nodes take part in target tracking.

关键词

目标跟踪/无线传感器网络/粒子滤波/动态分簇

Key words

target tracking/ wireless sensor network(WSN) / particle filter(PF) / dynamic clustering

分类

信息技术与安全科学

引用本文复制引用

向智,郭松涛..基于预测的动态分簇目标跟踪算法[J].计算机应用研究,2013,30(3):848-852,5.

基金项目

国家自然科学基金资助项目(61170248) (61170248)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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