Probabilistic Coverage Configuration for Wireless Sensor Networks

摘要：

Recently, wireless sensor networks have attracted a lot of attention. Such environments may consist of many inexpensive nodes, each capable of collecting, storing, processing environmental information and communicating with neighboring nodes through wireless links. In this paper, we investigate the coverage issues in wireless sensor networks based on probabilistic coverage and propose a probabilistic coverage to evaluate the problem of the point coverage. The algorithm takes into account the variations in sensing factors of deployed sensors and adopts a probabilistic approach in contrast to widely used idealistic unit disk model. Simulation results show the CCAP algorithm is more efficient than the binary detecting model.

关键词： detecting probability log-normal shadowing model communication neighbors

作者: Zhang Dingxing Xu Ming Chen Yingwen Wang Shulin

作者单位: School of Computer National University of Defense Technology Changsha,China;Computer dept Guangdong School of Computer National University of Defense Technology Changsha,China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）