中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
RFID network scheduling using a discrete multi-swarm optimizer

文献类型:期刊论文

作者Liu W(刘微); Niu B(牛奔); Chen HN(陈瀚宁)
刊名Advances in Information Sciences and Service Sciences
出版日期2012
卷号4期号:22页码:429-437
关键词Radio frequency identification (RFID) Topology
ISSN号1976-3700
产权排序2
中文摘要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. This paper, therefore, aims 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 PS2O is to extend the single population PSO to the interacting multi-swarms 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 in this study. Numerical results for four test cases with different scales, which ranging from 30 readers to 200 readers, have been presented to demonstrate the performance of the proposed methodology.
收录类别EI
语种英语
公开日期2013-04-21
源URL[http://ir.sia.cn/handle/173321/10587]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
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GB/T 7714
Liu W,Niu B,Chen HN. RFID network scheduling using a discrete multi-swarm optimizer[J]. Advances in Information Sciences and Service Sciences,2012,4(22):429-437.
APA Liu W,Niu B,&Chen HN.(2012).RFID network scheduling using a discrete multi-swarm optimizer.Advances in Information Sciences and Service Sciences,4(22),429-437.
MLA Liu W,et al."RFID network scheduling using a discrete multi-swarm optimizer".Advances in Information Sciences and Service Sciences 4.22(2012):429-437.

入库方式: OAI收割

来源:沈阳自动化研究所

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