Two Blocking Algorithms on Adaptive Binary Splitting: Single and Pair Resolutions for RFID Tag Identification

In radio frequency identification (RFID) systems, the reader identifies tags through communication over a shared wireless channel. When multiple tags transmit their IDs simultaneously, their signals collide, increasing the identification delay. Therefore, many previous anti-collision algorithms, including an adaptive query splitting algorithm (AQS) and an adaptive binary splitting algorithm (ABS), focused on solving this problem. This paper proposes two blocking algorithms, a single resolution blocking ABS algorithm (SRB) and a pair resolution blocking ABS algorithm (PRB), based on ABS. SRB not only inherits the essence of ABS which uses the information of recognized tags obtained from the last process of tag identification, but also adopts a blocking technique which prevents recognized tags from being collided by unrecognized tags. PRB further adopts a pair resolution technique which couples recognized tags and thus only needs half time for next identifying these recognized tags. We formally analyze the performance of SRB and PRB. Finally, the analytic and simulation results show that SRB slightly outperforms ABS and PRB significantly surpasses ABS.

[1]  Tae-Jin Lee,et al.  Framed-slotted ALOHA with estimation by pilot frame and identification by binary selection for RFID anti-collision , 2007, 2007 International Symposium on Communications and Information Technologies.

[2]  Pierre A. Humblet,et al.  A Class of Efficient Contention Resolution Algorithms for Multiple Access Channels , 1985, IEEE Trans. Commun..

[3]  Chae-Woo Lee,et al.  An enhanced dynamic framed slotted ALOHA algorithm for RFID tag identification , 2005, The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services.

[4]  Jaideep Srivastava,et al.  Adaptive binary splitting for efficient RFID tag anti-collision , 2006, IEEE Communications Letters.

[5]  F. Schoute,et al.  Dynamic Frame Length ALOHA , 1983, IEEE Trans. Commun..

[6]  Weimin Wu,et al.  Variant Enhanced Dynamic Frame Slotted ALOHA Algorithm for Fast Object Identification in RFID System , 2007, 2007 International Workshop on Anti-Counterfeiting, Security and Identification (ASID).

[7]  Yanghee Choi,et al.  A Hybrid Query Tree Protocol for Tag Collision Arbitration in RFID systems , 2007, 2007 IEEE International Conference on Communications.

[8]  Steven Shepard RFID: Radio Frequency Identification , 2004 .

[9]  Feng Zhou,et al.  Optimize the power consumption of passive electronic tags for anti-collision schemes , 2003, ASICON 2003.

[10]  Cunqing Hua,et al.  Prefix-Randomized Query-Tree Protocol for RFID Systems , 2006, 2006 IEEE International Conference on Communications.

[11]  Hyuckjae Lee,et al.  Scanning-Based Pre-Processing for En hanced Tag Anti-Collision Protocols , 2006, 2006 International Symposium on Communications and Information Technologies.

[12]  John Capetanakis,et al.  Tree algorithms for packet broadcast channels , 1979, IEEE Trans. Inf. Theory.

[13]  Wonjun Lee,et al.  An Adaptive Memoryless Protocol for RFID Tag Collision Arbitration , 2006, IEEE Transactions on Multimedia.

[14]  Min Young Chung,et al.  Identification of RFID Tags in Framed-Slotted ALOHA with Robust Estimation and Binary Selection , 2007, IEEE Communications Letters.

[15]  Harald Vogt,et al.  Efficient Object Identification with Passive RFID Tags , 2002, Pervasive.

[16]  Jaideep Srivastava,et al.  Tag-Splitting: Adaptive Collision Arbitration Protocols for RFID Tag Identification , 2007, IEEE Transactions on Parallel and Distributed Systems.

[17]  Anthony Ephremides,et al.  An exact analysis and performance evaluation of framed ALOHA with capture , 1989, IEEE Trans. Commun..

[18]  Jae-Hyun Kim,et al.  Dynamic framed slotted ALOHA algorithms using fast tag estimation method for RFID system , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[19]  Hyuckjae Lee,et al.  Bi-slotted tree based anti-collision protocols for fast tag identification in RFID systems , 2006, IEEE Communications Letters.

[20]  Tsan-Pin Wang Enhanced binary search with cut-through operation for anti-collision in RFID systems , 2006, IEEE Communications Letters.

[21]  Pingzhi Fan,et al.  An Enhanced Anti-collision Algorithm in RFID Based on Counter and Stack , 2007, 2007 Second International Conference on Systems and Networks Communications (ICSNC 2007).