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中文摘要：
构造了信息获取与能量节省的综合性能指标，通过在线优化该函数自适应地选择簇首及簇内成员，提出了一种无线传感器网络动态协同自组织算法（DCS），从而实现综合性能优化意义下的网络自组织．仿真表明：与IDSQ算法相比，DCS算法能有效避免“乒乓效应”问题，节省通讯能量明显，而跟踪精度相当．
英文摘要：
Facing the requirement of effective information acquisition and low energy cost from the wireless sensor networks, we construct an object function by combining information gain index and energy cost index for the self-organization optimization. The information index is constructed from the mutual information, so that information increment can be represented as an alternative sensor node to the sensor cluster. The energy cost is derived from the node communication hop number from the sensor node to the sensor cluster leader. By optimizing the performance index online, a dynamic collaborative self-organization （DCS） algorithm is proposed, through which the clustering leader can be automatically elected and its member nodes can be selected sequentially. Compared with IDSQ in our simulation, DCS can relieve the problem of ＂too frequent leader switches＂ and achieve almost the same tracking accuracy at the cost of low energy consumption.
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