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• [P502] ResidualRanking: a robust Access-Point selection strategy for indoor location tracking
  Author(s): Min Wang, Chunkai Zhang
  
  

  Abstract
  In this paper, we propose a robust approach to access point(AP) selection problem in the indoor location tracking. It takes the environments changes into account and makes use of residuals ranking algorithm to make AP selection dynamic in the online phase at a fixed time interval, we call it ResidualRanking method, also we make an improvement of residual computing according to the properties of radio signals. Additionally, we present a location tracking system called BRR(Bayesian and Residuals Ranking). Experimental results indicate that the proposed AP selection method called ResidualRanking leads to a large improvement to the MaxMean method, also the proposed system BBR can get desirable results in the realist indoor location tracking.

  
   

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