Research Article
RFID Indoor Positioning Based on AP Clustering and Improved Particle Swarm Algorithm
Algorithm 2
RFID indoor positioning based on AP-PSO algorithm.
Input: | 1: Similarity matrix S,damping factor , | 2: Number of particles O,Weighting w,,,,; | Output: The optimal position of the particle ; | 3: Divided tags area:after clustering by Algorithm 1, f clustering centers are obtained; | 4: The RSSI value [] of the tag to be measured is divided into f classes based on similarity; | 5: Improved PSO algorithm for location finding: | 6: for each particle h do | 7: Initialize velocity and position for particle h; | 8: Evaluate particle h and set = | 9: end for | 10: = min; | 11: while not stop do | 12: for h to O do | 13: Update the velocity and position of particle h using the improved and ; | 14: Evaluate the particle h according to the fitness function | 15: end for | 16: ifthen | 17: ; | 18: ifthen | 19: ; | 20: end if | 21: end if | 22: end while | 23: Output and get the coordinates corresponding to the RSSI value of , which is then the position of the tag to be measured. |
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