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题名: A discrete multi-swarm optimizer for radio frequency identification network scheduling
作者: Chen HN(陈瀚宁) ; Zhu YL(朱云龙)
作者部门: 信息服务与智能控制技术研究室
关键词: Artificial intelligence ; Benchmarking ; Particle swarm optimization (PSO) ; Radio systems ; Scheduling ; Topology
刊名: Journal of Central South University
ISSN号: 2095-2899
出版日期: 2014
卷号: 21, 期号:1, 页码:199-212
收录类别: SCI ; EI
产权排序: 1
摘要: Due to the effectiveness, simple deployment and low cost, radio frequency identification (RFID) systems are used in a variety of applications to uniquely identify physical objects. The operation of RFID systems often involves a situation in which multiple readers physically located near one another may interfere with one another's operation. Such reader collision must be minimized to avoid the faulty or miss reads. Specifically, scheduling the colliding RFID readers to reduce the total system transaction time or response time is the challenging problem for large-scale RFID network deployment. Therefore, the aim of this work is to use a successful multi-swarm cooperative optimizer called PS2O to minimize both the reader-to-reader interference and total system transaction time in RFID reader networks. The main idea of PS 2O is to extend the single population PSO to the interacting multi-swarm model by constructing hierarchical interaction topology and enhanced dynamical update equations. As the RFID network scheduling model formulated in this work is a discrete problem, a binary version of PS2O algorithm is proposed. With seven discrete benchmark functions, PS2O is proved to have significantly better performance than the original PSO and a binary genetic algorithm. PS2O is then used for solving the real-world RFID network scheduling problem. Numerical results for four test cases with different scales, ranging from 30 to 200 readers, demonstrate the performance of the proposed methodology.
语种: 英语
WOS记录号: WOS:000332458500025
WOS标题词: Science & Technology ; Technology
类目[WOS]: Metallurgy & Metallurgical Engineering
关键词[WOS]: RFID TECHNOLOGY ; PARTICLE SWARM ; ALGORITHM ; SYSTEM
研究领域[WOS]: Metallurgy & Metallurgical Engineering
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14666
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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陈瀚宁;朱云龙.A discrete multi-swarm optimizer for radio frequency identification network scheduling,Journal of Central South University,2014,21(1):199-212
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