基于瑞利信道的无线传感网随机k覆盖问题

Stochastic k Coverage in Rayleigh Fading Channel

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.

A new coverage measure model in dense wireless sensor network was proposed in Rayleigh fading channel,which is more suitable to the actual transmit environment compared to existing sensing models. The spatial distribution of sensors are modeled as a Poisson point process,and the Rayleigh fading channel is adopted as the propagation channel. Through the set intersection algorithm from integral geometry,the coverage measure for k-coverage was achieved,the probability for k-coverage and the node density guaranteeing k-coverage were derived. Simulations demonstrate the influence of channel parameters and validate the correctness of the coverage measure model.