Compressive Sensing Based Localization Algorithm Using Vote Technique

With the development of wireless communication network technology,the location-based sevices have attracted more and more attentions.Among all localization thchnologies,the received signal strength based localization method is widely utilized,since it is simple and low-cost.However,it is very easy to be attacked by malicious nodes which lead to poor positioning performance.According to the above discussions,in this paper,we study the compressive sensing(CS)based localization algorithm using vote technique.The main contributions are as follows:(1)The wireless sensor network(WSN)localization technologies and CS theory are introduced in detail.Meanwhile,many kinds of CS recovery algorithm including basic pursuit(BP)method,orthogonal matching pursuit(OMP)method,matching pursuit(MP)method,compressive sampling matching pursuit(CoSaMP)method and subspace pursuit(SP)method are simulated to show their recovery performance.(2)A secure compressive sensing localization algorithm using OMP recovery algorithm and vote technology is proposed as a post-processing method.First,a robust technique is utilized to produce more reliable verifier parameter estimation.Then,a vote technology is exploited to enhance the robustness in presence of outliers.The simulation results illustrated that the proposed algorithm can achieve better localization performance than other existing algorithms under malicious node attack environments.(3)Using the OMP-SP recovery algorithm,the OMP-SP based localization algorithm is proposed.In malicious node attack environments,a secure OMP-SP based localization algorithm using vote technology is also proposed.The simulation results show that the positioning performance of OMP-SP method is better than that of OMP method and SP method.In the malicious node attack environmrnts,the proposed secure localization algorithm can overcome the malicious node attack and improve the positioning performance.