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- W3144030016 abstract "The application of Compressed Sensing(CS)theory to multiple target localization in Wireless Sensor Networks(WSNs)was explored.A CS reconstruction method based on Discrete Glowworm Swarm Optimization(DGSO)algorithm was proposed and the algorithm processing was designed.Different from the traditional reconstruction method,the DGSO algorithm is independent on the sparse K and can accurately reconstruct the original signal.The improved CS was applied to the multiple target localization in WSNs,and the WSNs application model was established.Then,a reasonable measuring matrix and a sparse matrix were constructed,and the relationship between measuring matrix and reconstructed results was analyzed.Finally,the multiple target localization was achieved in WSNs.The simulation results show that this method has better effect in the sparse signal reconstruction and multi target locating precision,and its location precision is better than those ofGreedy Matching Pursuit(GMP),Orthogonal Matching Pursuit(OMP)and mum Likelihood Estimation(MLE).Moreover,it reduces the network communication data amounts,extends the lifetime of WSNs.The number of sensor nodes for localization of WSNs is reduced by 20%,and the anti-noise can reach to 20dB." @default.
- W3144030016 created "2021-04-13" @default.
- W3144030016 creator A5031406984 @default.
- W3144030016 date "2014-01-01" @default.
- W3144030016 modified "2023-09-24" @default.
- W3144030016 title "Multiple target localization in WSNs via CS reconstruction based on discrete GSO algorithm" @default.
- W3144030016 hasPublicationYear "2014" @default.
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