%0 Journal Article
%T k-coverage algorithm based on probabilistic sensing model in WSN<br>基于感知概率的无线传感器网络k重覆盖算法*
%A JIANG Li-ping
%A WANG Liang-min
%A XIONG Shu-ming
%A ZHAN Yong-zhao
%A <br>蒋丽萍
%A 王良民
%A 熊书明
%A 詹永照
%J 计算机应用研究
%D 2009
%I 
%X Binary-detection model based method for k-coverage controlling in wireless sensor network is not practicable without consideration of the environment factors. This paper proposed a k-coverage distributed algorithm based on probabilistic sensing model (KCAPSM). Gave any point in the target area sensed by a sensor value based on the sensing capability, and in KCAPSM a sensor compared its residual energy with the neighborhood. They cooperated to construct k working covers that provided probabilistic k-coverage for the whole target region. Experimental results display that KCAPSM made the redundant nodes sleeping, save the energy of the network, and optimize the resources.
%K wireless sensor Network(WSN)
%K probabilistic sensing model
%K k-coverage<br>无线传感器网络
%K 感知概率模型
%K k重覆盖
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=6BB7849DD2BA94CCBA939131FD273805&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=2C28B00CA8FAA056&eid=174AEFA1B04682C7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=12