基于自适应动态分簇的二元传感器网络目标跟踪算法  

A target tracking scheme based on adaptive dynamic clustering for binary wireless sensor networks

作　　者：孙胜春[1] 周德鑫[2] 肖胜[3] 

机构地区：[1]海军工程大学兵器工程系,武汉430033 [2]海军装备部军械保障部,北京100841 [3]海军工程大学电子工程学院,武汉430033

出　　处：《海军工程大学学报》2012年第4期29-34,共6页Journal of Naval University of Engineering

基　　金：湖北省自然科学基金资助项目(2006ABA010);海军工程大学自然科学基金资助项目(HGDJJ015)

摘　　要：针对二元传感器网络的目标跟踪问题,提出了一种通过设置簇内传感器节点数目门限自适应地调整簇的激活半径、利用少量被激活的节点进行跟踪的方法,并利用一种改进的分布式粒子滤波算法进行目标位置估计以减少粒子数和计算量。仿真结果表明:与传统的IDSQ算法相比,所提出的算法能够在保证一定跟踪精度的基础上,有效降低网络的能量消耗,提高网络寿命。Aiming at the problem of target tracking in the binary wireless sensor networks, a dynamic clustering scheme was proposed in which the active radius was adjusted based on the number of the sensors in cluster and a small quantity of nodes were activated to track a target. An improved particle filtering algorithm was employed to estimate the location of the target and the number of particles was reduced. The simulation results indicate that the scheme proposed can decrease the energy consump- tion and prolong the network service life under the condition of maintaining the tracking precision, as compared with the existing IDSQ methods.

关 键 词：目标跟踪 无线传感器网络 动态分簇 激活半径 粒子滤波 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]