吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1261-1268.doi: 10.13229/j.cnki.jdxbgxb201604036

• Orginal Article • Previous Articles     Next Articles

Improvement of discrete shuffled frog-leaping algorithm and application in compressed sensing reconstruction

LIU Zhou-zhou1, 2, WANG Fu-bao2   

  1. 1.School of Electrical Engineering,Xi'an Aeronautical University, Xi'an 710077, China;
    2.School of Electronics and Information, Northwestern Polytechnical University,Xi'an 710072, China
  • Received:2015-04-01 Online:2016-07-20 Published:2016-07-20

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Abstract: An improvement of Discrete Shuffled Frog-leaping Algorithm (DSFLA) is proposed. Fist, according to the characteristics of discrete optimization problems, the frog coding of universal significance is defined, which is important for DSFLA in solving discrete optimization effectively. Then, the update mechanism based on “swapping of coded bits” for DSFLA is designed, and an adaptive weighting factor and sub-ethic dual strategy are presented. Finally, the improved DSFLA is applied in compressed sensing reconstruction algorithm, in which the unknown reconstructed signal encoding is taken as the frog code. Typical TSP problems and multiple target localization in WSN are simulated. Simulation results show that the improved DSFLA has prominent ability to solve complex problems, and the perception accuracy of WSNs target reconstruction based on improved DSFLA CS reconstruction algorithm is better than that of the traditional signal reconstruction algorithm, and the anti noise capacity reaches 25~45 dB.

Key words: computer application, wireless sensor networks, discrete shuffle frog leaping algorithm, compressed sensing reconstruction algorithm, multiple target localization

CLC Number: 

  • TP393
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