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首页> 外文会议>2011 Chinese Control and Decision Conference >A noble target tracking algorithm based on dynamic clustering for wireless sensor network
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A noble target tracking algorithm based on dynamic clustering for wireless sensor network

机译：一种基于动态聚类的无线传感器网络高贵目标跟踪算法

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This paper proposes a dynamic clustering algorithm for target tracking to balance energy consumption in a local monitoring region of wireless sensor networks. In order to balance the local energy consumption of a dynamic clustering owing to excessive use of a individual node, one node is preferentially chosen as a tasking node which is marked by a high value of the decision function and the node with the highest value is chosen as the cluster head, and others with a low value are in reserve. In addition to the joint detection probability (JDP) for tasking sensors, particle filter algorithm is used for target tracking in every chosen node. Simulation results show that, the algorithm can achieve the required tracking accuracy, and solve the problem that nodes are reused so as to balance the consumption of energy and prolong the lifetime of wireless sensor networks.
机译：本文提出了一种用于目标跟踪的动态聚类算法，以平衡无线传感器网络本地监控区域中的能耗。为了平衡由于过度使用单个节点而导致的动态聚类的局部能耗，优先选择一个节点作为任务节点，该节点以决策函数的高值进行标记，并选择具有最高值的节点作为簇头，其他低价值的储备。除了任务传感器的联合检测概率（JDP）外，粒子滤波算法还用于在每个选定节点中进行目标跟踪。仿真结果表明，该算法可以达到要求的跟踪精度，解决了节点重用的问题，以平衡能量的消耗，延长了无线传感器网络的寿命。

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