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针对描述密集传感器网络k覆盖问题感知模型的不足,结合传感器节点空间分布的泊松点特征及信道传输特性,采用积分几何集合相交的方法,提出了一种基于瑞利信道的传感器网络节点覆盖测度模型,并推导了网络k覆盖概率及达到k覆盖所需的节点密度..通过仿真实验分析了信道参数对k覆盖概率的影响,验证了测度模型的正确性.
Aiming at the shortcomings of describing the problem of perceived model of coverage in dense sensor networks, and combining the Poisson point characteristics and channel transmission characteristics of the spatial distribution of sensor nodes, a method based on integral geometry set intersection is proposed, which is based on Rayleigh channel sensor node coverage measure Model, and deduced the coverage probability of network k and the node density needed to reach k coverage. The influence of channel parameters on k coverage probability is analyzed by simulation experiments, and the correctness of the measurement model is verified.