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目前接地网传感器的优化布置几乎是空白,对于无线传感网络优化研究,主要是针对能量最省的情况下传感节点的路径优化,提出并证明了网络总能量消耗最少,网络寿命最长的区域位置,分别从不同的角度出发讨论了能量均衡算法,实现了基于数据融合的传感器优化布置。但是该方法存在缺陷,不易拓展,并且路径优化能不能保证信号的有效传输,能量最省情况下是不是最经济,显然目前的研究是难以保证的。基于此,文中针对现有能耗最少模型,结合区域匹配算法,讨论了确保故
At present, the optimal arrangement of ground network sensor is almost blank. For optimization of wireless sensor network, the optimization of sensor nodes is mainly aimed at sensor nodes’ path optimization under the condition of least energy. The least energy consumption and the longest network lifetime are proposed and proved Regional location, discussed the energy balance algorithm from different perspectives respectively, and realized the optimal sensor placement based on data fusion. However, the proposed method is not easy to be expanded and path optimization can not guarantee the efficient transmission of signals. It is not the most economical case that energy is the most economical. Obviously, the current research is hard to guarantee. Based on this, in this paper, the current minimum energy model, combined with the regional matching algorithm, to ensure that the