Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (9): 2001-2004.doi: 10.3969/j.issn.1001-506X.2010.09.45

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Monte Carlo mobile node localization algorithms based on sampling optimization

SUN Yan1，SHANG Jun-liang2，LIU San-yang3   

  1. 1. School of Economics and Management, Xidian Univ., Xi’an 710071 China；
    2. School of Computer Science and Technology, Xidian Univ., Xi’an 710071, China;
    3. School of Mathematic Science, Xidian Univ., Xi’an 710071, China
  • Online:2010-09-06 Published:2010-01-03

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Abstract:

In view of the deficiencies of Monte Carlo localization algorithm in mobile wireless sensor networks,a new localization algorithm featuring sampling optimization Monte Carlo is introduced. Accordingto the continuity of movement to carry out curve fitting, a region where the value of posterior density distribution is large is calculated, and the sample weights are optimized. Simulation results indicate that the improvedalgorithm needs fewer samples, the accuracy and robustness of target locating in wireless sensor networks can be improved effectively.

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