Abstract
In the last few decades, Radio Fingerprinting based Indoor Localization Systems (RFILSs) are widely adopted for various location based services. These systems determine the position of mobile device using a radio map. This radio map is constructed by calibrating the site into number of equal sized grids and measuring Wi-Fi signals from various access points on each grid. However, the use of optimum grid size to construct the radio map not only affects the calibration effort, it also influences other performance criteria i.e., localization error, precision rate, and response time. Therefore, taking this into consideration, it becomes essential to choose the optimum grid size based on the multiple criteria. In this paper, firstly, the influence of various grid sizes is experimentally evaluated on each performance criterion. Then, Fuzzy Analytical Hierarchy Process (FAHP) is applied on them to determine the optimum grid size. The experiments are performed by logically dividing the testbed into number of grids in the range of × 1 m2 to 3× 3 m2 on the variation of 0.5 × 0.5 m2.
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