RFID Network planning
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Date
2022-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITY of M'SILA
Abstract
Radio frequency identification (RFID) technology is a kind of wireless technology that
has been successfully employed in various fields, such as object and tracking applications.
Nevertheless, one of the main challenges that still remains unsolved in RFID is the network
planning(RNP) problem. To overcome this issue, in this work, we proposed a hybrid particle
swarm optimization (HPSO) with k-means clustering and virtual forces. Firstly, HPSO-RNP
reads automatically the number of readers and then initializes their coordination using the k means algorithm. Lastly, the algorithm (virtual forces) is integrated into the random
movement to adjust the location of readers during the search process of PSO. To compare
HPSO-RNP with the existing method, extensive experiments are conducted on eight RNP
benchmark datasets and the results validate that the performance of the proposed method is
superior for planning RFID networks in terms of the number of readers, interference, power
and load balance.
Description
Keywords
particle swarm optimization ,Radio frequency identification ,RFID network planning , K-means algorithm , Virtual force.