中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm

文献类型:期刊论文

作者Chen HN(陈瀚宁); Zhu YL(朱云龙); Hu KY(胡琨元); Ku T(库涛)
刊名International Journal of Artificial Intelligence
出版日期2011
卷号7期号:A11页码:219-231
关键词Dynamic RFID Network Optimization reader collision tag coverage BFO SABFO
ISSN号0974-0635
产权排序1
中文摘要Due to the low cost and simple deployment, radio frequency identification (RFID) systems are used in a variety of applications to uniquely identify physical objects. However, a number of critical design issues relating to dynamic determination of the optimal placement of RFID readers remain unresolved. In this paper, we address two important problems associated with reader location in RFID networks: (i) reader collision avoidance; (ii) optimal tag coverage. This paper, therefore, aims to use a successful swarm intelligence technique called self-adaptive bacterial foraging optimization (SABFO) to optimize both the reader-to-reader interference and tag coverage problems in RFID networks. The optimization results are also compared with the classical bacterial foraging optimization (BFO) algorithm. Numerical results for a RFID network case with ten readers have been presented to demonstrate the performance of the SABFO algorithm.
语种英语
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/7078]  
专题沈阳自动化研究所_工业信息学研究室
推荐引用方式
GB/T 7714
Chen HN,Zhu YL,Hu KY,et al. Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm[J]. International Journal of Artificial Intelligence,2011,7(A11):219-231.
APA Chen HN,Zhu YL,Hu KY,&Ku T.(2011).Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm.International Journal of Artificial Intelligence,7(A11),219-231.
MLA Chen HN,et al."Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm".International Journal of Artificial Intelligence 7.A11(2011):219-231.

入库方式: OAI收割

来源:沈阳自动化研究所

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