无线传感器网络中多传感器动态自适应调度算法  

A Dynamic Adaptive Multi-sensor Scheduling Algorithm in Wireless Sensor Network

作　　者：肖胜[1] 邢昌风[1] 石章松[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《火力与指挥控制》2012年第1期151-154,共4页Fire Control & Command Control

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

摘　　要：无线传感器网络中,目标跟踪往往通过节点之间的协作完成。在无迹变换卡尔曼滤波基础上,提出一种多传感器动态自适应调度算法进行目标跟踪。该方法根据预测跟踪精度来确定采样间隔,然后基于特定的检测概率,为下一时刻选择一组传感器,形成一个临时工作组,并指定某一个传感器作为中心节点进行数据融合。仿真结果证明了该算法能有效提高跟踪精度和可靠性。In wireless sensor network,target tracking usually be accomplished by collaboration between the sensors.A dynamic adaptive multi-sensor scheduling algorithm which based on UKF algorithm is presented for target tracking in WSNs.According to the predicted tracking accuracy,the proposed scheme determines the sampling interval and selects a number of sensors to form a temporary tasking group for the next time step based on a specified detection probability.One of members in the tasking group is selected to be the leader node which acts as a local temporary fusion center.The simulation results show that the proposed algorithm can improve the tracking reliability and power efficient.

关 键 词：无线传感器网络 目标跟踪 采样间隔 无迹变换卡尔曼滤波 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]