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题名: RFID Reader Anti-collision Using Chaos Neural Network Based on Annealing Strategy
作者: Tian JH(田景贺) ; Fan YS(范玉顺) ; Zhu YL(朱云龙) ; Hu KY(胡琨元)
作者部门: 先进制造技术研究室
会议名称: 7th World Congress on Intelligent Control and Automation
会议日期: June 25-27, 2008
会议地点: Chongqing, China
会议主办者: Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
会议录: 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2008
页码: 6128-6132
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-2113-8
摘要: In a dense reader environment, RFID system performance will be limited by the reader collision so much that all the readers can not operate normally. In order to eliminate reader collisions in REID system, this paper presents a RFID anti-collision algorithm-chaos neural network based on annealing strategy (RAC-ACNN). By the algorithm, any two readers that potentially collide with each other will be assigned two different time slots in which readers are permitted to operate. The algorithm possesses the capability of ergodic random search due to chaos mechanism, and it can control the departure of chaos state by annealing strategy. The simulation result shows that ACNN has high speed and success rate of convergence, which tests that the algorithm proposed in this paper is a reliable and efficient algorithm for RFID reader anti-collision.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8271
Appears in Collections:工业信息学研究室_先进制造技术研究室_会议论文

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Recommended Citation:
田景贺; 范玉顺; 朱云龙; 胡琨元.RFID Reader Anti-collision Using Chaos Neural Network Based on Annealing Strategy.见:IEEE .2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23,NEW YORK,2008,6128-6132
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