On Sensing Capacity of Sensor Networks for Localizing Sparse Plumes

摘要：

We study the fundamental limits to the performance of sensor networks for localizing sparse plumes based on particle concentration readings at different locations. We adopt the compressed sensing framework and exploit plume propagation properties in both spatial and temporal domain. A useful metric, namely,the effective sensing capacity, is proposed to characterize the minimal number of sensors and the minimal sampling rate required to achieve the desired localization accuracy.We isolate the effect of plume sparsity, sensing diversity and signal-to-noise ratio (SNR) on the system performance in asymptotic regime. The results serve as a guideline for designing effective sensor network architectures for source estimation in realistic environments.

关键词： Source estimation compressed sensing effective sensing capacity sensor networks

作者: Huimin Chen X.Rong Li

作者单位: Department of Electrical Engineering University of New Orleans New Orleans, LA, U.S.A.

会议类型: 国际会议

会议名称: The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)

会议地点: 西安

会议语种:英文

页码: 76-80

在线出版日期: 2007-08-22（万方平台首次上网日期，不代表论文的发表时间）