Research Article
WSNs Compressed Sensing Signal Reconstruction Based on Improved Kernel Fuzzy Clustering and Discrete Differential Evolution Algorithm
(1) Initialize parameters: maximum number of iterations | , cluster number and the stopping criterion. | (2) Initialize the population of IDDE, and set . | (3) While (the requirement of IDDE is not satisfied) do | | (4) While (the stopping criterion of IKFCM is not | satisfied) do cluster analysis the population | | (5) Calculate and according to (3). | | (6) For update the particle | (7) Randomly select 3 particles from different clusters | which do not contain . Perform mutation | according to (22) to obtain , and . | (8) Generate , and through crossover in the | following way: | | (9) Evaluate the trial particle | If , then | Else | End if | (10) End for | (11) | | (12) Output results. |
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