%0 Journal Article
%A KANG Lin
%A LI Jin-lan
%A LI Xiu-hua
%A WANG Wei-dong
%A ZHANG Ying-hai
%T Stochastic <em>k</em> Coverage in Rayleigh Fading Channel
%D 2015
%R 10.13190/j.jbupt.2015.05.011
%J Journal of Beijing University of Posts and Telecommunications
%P 62-65
%V 38
%N 5
%X <p>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 <em>k</em>-coverage was achieved, the probability for <em>k</em>-coverage and the node density guaranteeing <em>k</em>-coverage were derived. Simulations demonstrate the influence of channel parameters and validate the correctness of the coverage measure model.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.05.011