RFID Indoor Positioning Based on AP Clustering and Improved Particle Swarm Algorithm
نویسندگان
چکیده
This paper proposes a method based on AP clustering and an improved particle swarm algorithm for radio frequency identification (RFID) indoor positioning, called the AP-PSO method. Firstly, is used to cluster RSSI values of experimental region tags with similarity, in order achieve division tagged regions, reduce search area later algorithm, time. Secondly, learning factor dynamically adjusted, improve ability convergence speed global optimal solution particles. The results show that can effectively RFID positioning be measured, high accuracy spending less
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ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2022
ISSN: ['1687-725X', '1687-7268']
DOI: https://doi.org/10.1155/2022/4121016