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面向目标跟踪的WSN协同调度策略及拓扑控制
引用本文:曾明,危阜胜,陈冠升,胥布工.面向目标跟踪的WSN协同调度策略及拓扑控制[J].华南理工大学学报(自然科学版),2010,38(6).
作者姓名:曾明  危阜胜  陈冠升  胥布工
作者单位:华南理工大学,自动化科学与工程学院,广东,广州,510640
基金项目:NSFC-广东联合基金重点项目,华南理工大学自然科学青年基金资助项目 
摘    要:基于扩展卡尔曼滤波估计理论提出了分布式无线传感器网络的目标跟踪算法,给出了基于邻节点集的协同调度策略和采用退避机制的按需距离矢量路由(AODV)拓扑控制策略,实现了分布式环境下任务节点和拓扑结构的动态自适应切换.通过研制融合了MicaZ硬件节点和超声波传感器的原型系统,实现了对移动目标的跟踪和定位,验证了所提出算法的正确性.

关 键 词:无线传感器网络  扩展卡尔曼滤波  目标跟踪  协同调度  拓扑控制  
收稿时间:2009-9-3
修稿时间:2009-11-9

Collaborative Scheduling Strategy and Topology Control for Target Tracking in Wireless Sensor Networks
Zeng Ming,Wei Fu-sheng,Chen Guan-sheng,Xu Bu-gong.Collaborative Scheduling Strategy and Topology Control for Target Tracking in Wireless Sensor Networks[J].Journal of South China University of Technology(Natural Science Edition),2010,38(6).
Authors:Zeng Ming  Wei Fu-sheng  Chen Guan-sheng  Xu Bu-gong
Abstract:In this paper the distributed sensor networks target tracking algorithm based on Extended Kalman Filtering(EKF) estimation theory is developed. On this basis a collaborative scheduling strategy based on the neighbor node set and the AODV topology control strategy using backoff mechanism are proposed to achieve the task nodes alternating and the topology dynamic adaptive switching under the distributed environment Through the development of a prototype of target tracking using the MicaZ hardware and ultrasonic sensors, we realizes the moving target tracking and positioning, and verify the correctness of the proposed algorithm.
Keywords:wireless sensor networks  extended kalman filtering  target tracking  collaborative scheduling  topology control
本文献已被 CNKI 万方数据 等数据库收录!
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