Abstract
Eliminating redundant readers is important for the performance improvement of the radio frequency identification (RFID) networks. This paper proposes an efficient approach for redundant reader elimination. A middleware-based model, which is formulated as a multi-dimensional optimization problem, is developed to evaluate the network performance. The real-coded genetic algorithm (RGA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
