Multiple Target Localization via Compressed Sensing in Wireless Sensor Networks
He Feng-hang① Yu Zhi-jun①② Liu Hai-tao①②
①(Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China) ②(Wuxi SensingNet Industrialization Research Institute, Wuxi 214135, China)
Abstract：Target localization is one of the most challenging and important issues in Wireless Sensor Networks (WSNs). A multiple target localization method is proposed in WSNs. The multiple target localization issue is transformed into compressed sensing issue by designing iteration backtracking algorithm using multi-resolution analysis idea. The achievement of this algorithm is to save the energy of WSN nodes, by minimizing inter-node communication, in the result of which the lifetime of the WSN is prolonged, at the cost of increasing the computation complexity in the fusion center instead. Emulation results demonstrated that the localization performance is improved by more than 50% by the proposed algorithm.
2012, Vol. 34 
