太原理工大学学报2018，Vol.49Issue(3)：473-477,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2018.03.017
基于压缩感知的星型拓扑结构无线传感网络信号检测算法
A Compressed Sensing based Detection for Star Topology WSNs
摘要
Abstract
In traditional star topology WSNs,during a guaranteed time slots (GTSs),only one sensor node is allowed to communicate with the AP.However,this scheme fails to deal with the scenario where more sensor nodes simultaneously gather urgent accidents and all of accidents require response from AP immediately.To address this problem,we consider the case where multiple sensors simultaneously send signal to the AP and propose an effective detector to distin-guish multi-sensors signals in star WSN topology.Since the active sensor nodes are relatively sparse compared with the total number of sensor nodes,compressed sensing has been taken into account.Moreover,the number of sensor node is usually large in star topology WSNs,which satisfies the condition of Lyapunov central limit theorem.So,it is possible to estimate the proba-bility of the state of each sensor node.Using the estimated probability,we can select more relia-ble support elements against the error-propagation effect.Simulation results substantiate the per-formance of the proposed algorithm.关键词
无线传感网络/星型拓扑结构/中心极限定理/压缩感知Key words
wireless sensor network/star topology/lyapunov central limit theorem/com-pressed sensing分类
信息技术与安全科学引用本文复制引用
张国华,刘文龙..基于压缩感知的星型拓扑结构无线传感网络信号检测算法[J].太原理工大学学报,2018,49(3):473-477,5.基金项目
国家自然科学基金资助项目(11372069) （11372069）
