文献类型：期刊文献

中文题名：基于分布式聚类的有向传感器网络移动目标跟踪算法研究

英文题名：Moving Target Tracking Algorithm Based on Distributed Clustering in Directional Sensor Networks

作者：左现刚[1];张志霞[1];贾蒙[2]

第一作者：左现刚

机构：[1]河南科技学院信息工程学院;[2]新乡学院机电工程学院

第一机构：河南科技学院信息工程学院,河南新乡453003

年份：2016

卷号：29

期号：7

起止页码：1096-1101

中文期刊名：传感技术学报

外文期刊名：Chinese Journal of Sensors and Actuators

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：国家自然科学基金项目(61501391)

语种：中文

中文关键词：有向传感器网络;目标跟踪;分布式聚类;生命时间

外文关键词：directional sensor networks;target tracking;distributed clustering;life time

摘要：针对有向传感器网络DSN(Directional Sensor Networks)中,传感器节点部署数量对目标跟踪精度、网络寿命和能效问题的影响方面,提出了一个分布式聚类算法,该算法在优化活跃传感器和节点的直接通信过程中,由分布式集群来负责协调成员间的节点,通过传输给Sink的定位信息及从多个节点聚集的传感数据来准确定位目标的位置。基于该理论的目标跟踪机制,提高了目标跟踪精度、增加了网络寿命和网络剩余能量。并进行了仿真验证,结果表明该方法能实现更高的跟踪性能。
According to the effect of the amount of sensor node for the target tracking accuracy and residual energy and network lifetime in the directional sensor networks,a distributed clustering algorithm is proposed. During the process of optimizing and activating the direct communication between sensors and nodes,the algorithm uses the distributed cluster to coordinate the nodes among the members. And accurate positioning of the target can be realized according to the location information transmitted to the sink and the sensing data from the multiple nodes. Based on the target tracking mechanism of this theory,the network lifetime and residual energy is increased,and the target tracking accuracy in the network is improved. The simulation results show that the method proposed in this paper can achieve higher performance compared with other new methods.