Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

The research of quadtree search algorithms for anti-collision in radio frequency identification systems

Bih-Yaw Shih1, Ta-Wei Lo2 and Chen-Yuan Chen1,3,4*
1Department and Graduate School of Computer Science, National Pingtung University of Education, No. 4-18, Ming Shen Rd., Pingtung 90003, Taiwan, R.O.C. 2Taiwan Power Company, Taiwan, R.O.C.  3Department of Information Management, National Kaohsiung First University of Science and Technology, 2 Jhuoyue Rd. Nanzih, Kaohsiung 811, Taiwan, R.O.C. 4Global Earth Observation and Data Analysis Center (GEODAC), National Cheng Kung University, No 1, Ta-Hsueh Road, Tainan 701, Taiwan, R.O.C.
Email: [email protected]

  •  Accepted: 28 September 2011
  •  Published: 30 October 2011

Abstract

Nowadays, Radio Frequency Identification (RFID) systems are widely used in commercial applications such as warehouse management, artificial intelligence, intelligent robot and automation control to identify the tagged goods or materials. When there is the existence of multiple tags in the interrogation field of a transponder, the arbitration algorithm for RFID system is used to arbitrate all the tags to avoid the collision problem. A splitting algorithm which is called Binary Search Tree (BST) is well-known for multi-tags arbitration. In this paper, a quadtree search algorithm is developed to avoid collision. Then, its performance is compared with binary search tree and binary search tree with cut-through according to cost, mean number of stages for successfully arbitrating an RFID device, during the arbitration process. Comparing with the traditional DFSA algorithm, the simulation results show that our model reaches better performance with respect to reducing the cost and tag reading time.

 

Key words: Radio Frequency Identification (RFID), arbitration problem, anti-collision, binary search tree, quadtree.