Multi-objective optimization sensor node scheduling for target tracking in wireless sensor network  

作　　者：文莎 Cai Zixing Hu Xiaoqing 

机构地区：[1]School of Information Science and Engineering,Central South University [2]School of Automation Science and Engineering,South China University of Technology

出　　处：《High Technology Letters》2014年第3期267-273,共7页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China(No.90820302,60805027);the Research Fund for Doctoral Program of Higher Education(No.200805330005);the Academician Foundation of Hunan(No.2009FJ4030)

摘　　要：Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target.For the goals of saving energy consumption,prolonging network lifetime and improving tracking accuracy,sensor node scheduling for target tracking is indeed a multi-objective optimization problem.In this paper,a multi-objective optimization sensor node scheduling algorithm is proposed.It employs the unscented Kalman filtering algorithm for target state estimation and establishes tracking accuracy index,predicts the energy consumption of candidate sensor nodes,analyzes the relationship between network lifetime and remaining energy balance so as to construct energy efficiency index.Simulation results show that,compared with the existing sensor node scheduling,our proposed algorithm can achieve superior tracking accuracy and energy efficiency.Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target.For the goals of saving energy consumption,prolonging network lifetime and improving tracking accuracy,sensor node scheduling for target tracking is indeed a multi-objective optimization problem.In this paper,a multi-objective optimization sensor node scheduling algorithm is proposed.It employs the unscented Kalman filtering algorithm for target state estimation and establishes tracking accuracy index,predicts the energy consumption of candidate sensor nodes,analyzes the relationship between network lifetime and remaining energy balance so as to construct energy efficiency index.Simulation results show that,compared with the existing sensor node scheduling,our proposed algorithm can achieve superior tracking accuracy and energy efficiency.

关 键 词：wireless sensor network （WSN） target tracking sensor scheduling multi-objective optimization 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]