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A discrete multi-swarm optimizer for radio frequency identification network scheduling
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
发表期刊Journal of Central South University
ISSN2095-2899
2014
卷号21期号:1页码:199-212
收录类别SCI ; EI
EI收录号20141317505687
WOS记录号WOS:000332458500025
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标题词Science & Technology ; Technology
WOS类目Metallurgy & Metallurgical Engineering
关键词[WOS]RFID TECHNOLOGY ; PARTICLE SWARM ; ALGORITHM ; SYSTEM
WOS研究方向Metallurgy & Metallurgical Engineering
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14666
专题信息服务与智能控制技术研究室
通讯作者Zhu YL(朱云龙)
作者单位Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Chen HN,Zhu YL. A discrete multi-swarm optimizer for radio frequency identification network scheduling[J]. Journal of Central South University,2014,21(1):199-212.
APA Chen HN,&Zhu YL.(2014).A discrete multi-swarm optimizer for radio frequency identification network scheduling.Journal of Central South University,21(1),199-212.
MLA Chen HN,et al."A discrete multi-swarm optimizer for radio frequency identification network scheduling".Journal of Central South University 21.1(2014):199-212.
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