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Optimizing Radio Frequency Identification Networks Planning by using Particle Swarm Optimization Algorithm with Fuzzy Logic Controller and Mutation

عنوان مقاله: Optimizing Radio Frequency Identification Networks Planning by using Particle Swarm Optimization Algorithm with Fuzzy Logic Controller and Mutation
شناسه ملی مقاله: CITCONF02_420
منتشر شده در دومین همایش ملی پژوهش های کاربردی در علوم کامپیوتر و فناوری اطلاعات در سال 1393
مشخصات نویسندگان مقاله:

Fahimeh Zakeri - Department of Technical and Engineering, Islamic Azad University, Babol Branch, Babol, Iran
Mehdi Golsorkhtabaramiri - Department of Technical and Engineering, Islamic Azad University, Babol Branch, Babol, Iran
Mehdi Hosseinzadeh - Department of Computer Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran

خلاصه مقاله:
One of the main problems for radio frequency identification (RFID) networks planning is to optimize readers position. The problem of RFID networks planning (RNP) includes many goals like coverage, interference, load balancing and economic efficiency. In this paper, we try to introduce a particle swarm optimization (PSO) algorithm-based method to improve RFID networks planning in which a Fuzzy logic controller and a mutation operator have been used to prevent quick algorithm convergence to local optimum. According to the findings, the recommended algorithm comparing other evolutionary algorithms locates readers in places where the goals of RFID networks planning could be achieved at the lowest cost.

کلمات کلیدی:
Radio Frequency Identification, Coverage, Interference, Load Balance, Economic Efficiency, Particle Swarm Optimization

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/455290/