• DocumentCode
    1821917
  • Title

    An Overlap Aware Technique for Redundant Reader Elimination

  • Author

    Hsu, Ching-Hsien ; Yu, Chia-Hao ; Chung, Chun-Yao ; Yang, Chao-Tung ; Chou, Chih-Hsun

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    Due to the recent technical advances, the Radio Frequency Identification (RFID) systems are deployed in large-scale for a variety of applications during the last decade. The collisions between readers and tags are important problems in RFID systems. There are many techniques have been proposed in literature to solve the collision problems in RFID systems. The redundant reader problem in RFID systems was proposed in recent year. Eliminating redundant readers can decrease the number of probability of reader collision. Additionally, it reduces the power consumption. In this paper, we proposed a method based on overlap-aware technique for eliminating redundant readers. In order to accurately evaluate the performance of the proposed method, it was performed in a variety of scenarios. The experiment results show that the proposed method eliminates the most number of redundant readers as compared with several well known methods, such as the RRE, the LEO, the hybrid algorithm (LEO+RRE) and the DRRE.
  • Keywords
    power consumption; radiofrequency identification; RFID system; overlap aware technique; power consumption reduction; radio frequency identification; reader collision probability; redundant reader elimination; Educational institutions; Image color analysis; Low earth orbit satellites; Protocols; RFID tags; Simulation; Collision Problem; RFID; Reader Coverage; Redundant Reader Elimination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-3084-8
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2012.105
  • Filename
    6332020