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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)
Department信息服务与智能控制技术研究室
Source PublicationJournal of Central South University
ISSN2095-2899
2014
Volume21Issue:1Pages:199-212
Indexed BySCI ; EI
EI Accession number20141317505687
WOS IDWOS:000332458500025
Contribution Rank1
KeywordArtificial Intelligence Benchmarking Particle Swarm Optimization (Pso) Radio Systems Scheduling Topology
AbstractDue 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.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectMetallurgy & Metallurgical Engineering
WOS KeywordRFID TECHNOLOGY ; PARTICLE SWARM ; ALGORITHM ; SYSTEM
WOS Research AreaMetallurgy & Metallurgical Engineering
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14666
Collection信息服务与智能控制技术研究室
Corresponding AuthorZhu YL(朱云龙)
AffiliationLaboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
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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