计算机应用与软件Issue(3)：104-107,4.DOI:10.3969/j.issn.1000-386x.2014.03.028
弱稀疏性下的无线传感器网络事件检测算法
EVENT DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS WITH WEAK SPARSITY
摘要
Abstract
In order to improve the reliability and effectiveness of event detection for wireless sensor networks (WSN)with weak sparsity based on compressed sensing (CS),an iterative convex optimization network event detection algorithm is proposed.The method detects events for networks with weak sparsity by multiple convex optimizations algorithm.Once a convex optimization algorithm finishes running,the detected network event is down-weighted so that other network events can be detected during the next convex optimization.Compared with previous wireless sensor network event detection algorithms,the iterative convex optimization detection algorithm can ensure the probability of successful detection for network events with weak sparsity.Simulation experiments validate the proposed algorithm.关键词
无线传感器网络/压缩感知/事件检测/迭代凸优化Key words
Wireless sensor network (WSN)/Compressed sensing/Event detection/Iterative convex optimization分类
信息技术与安全科学引用本文复制引用
赵秀兰,李克清..弱稀疏性下的无线传感器网络事件检测算法[J].计算机应用与软件,2014,(3):104-107,4.基金项目
江苏省科技计划项目（BE2011376）。 （）
