中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A discrete artificial bee colony algorithm for RFID network scheduling

文献类型:期刊论文

作者Qi WY(齐维毅); Shen H(申海); Chen HN(陈瀚宁)
刊名International Journal of Advancements in Computing Technology
出版日期2012
卷号4期号:14页码:324-332
关键词Artificial intelligence Radio frequency identification (RFID) Scheduling
ISSN号2005-8039
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. This paper, therefore, aims to use a successful swarm intelligence technique called artificial bee colony (ABC) algorithm to minimize both the reader-to reader interference and total system transaction time in RFID reader networks. As the RFID network scheduling model formulated in this work is a discrete problem, a binary version of artificial bee colony (BABC) algorithm is proposed in this study. Unlike the original ABC algorithm, the proposed BABC represents a food source as a discrete binary variable and applies discrete operators to change the foraging trajectories of the employed bees, onlookers and scouts in the probability that a coordinate will take on a zero or one value. Numerical results for two test cases with different scales, which contain 30 and 60 readers respectively, 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/173321/10577]  
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
Qi WY,Shen H,Chen HN. A discrete artificial bee colony algorithm for RFID network scheduling[J]. International Journal of Advancements in Computing Technology,2012,4(14):324-332.
APA Qi WY,Shen H,&Chen HN.(2012).A discrete artificial bee colony algorithm for RFID network scheduling.International Journal of Advancements in Computing Technology,4(14),324-332.
MLA Qi WY,et al."A discrete artificial bee colony algorithm for RFID network scheduling".International Journal of Advancements in Computing Technology 4.14(2012):324-332.

入库方式: OAI收割

来源:沈阳自动化研究所

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