Adaptive Binary Splitting for a RFID Tag Collision Arbitration Via Multi-agent Systems

Xu Huang; Dat Tran

doi:10.1007/978-3-540-74829-8_113

Adaptive Binary Splitting for a RFID Tag Collision Arbitration Via Multi-agent Systems

Xu Huang, Dat Tran

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

3 Citations (Scopus)

Abstract

Radio Frequency Identification (RFID) has recently received much attention from various parties involved in supply chain management. In the RFID system, a reader recognizes tags through communications over a shared wireless channel. When multiple tags transmit their IDs at the same time, the tag to reader signals lead to collision. Various tag identification algorithms have proposed for RFID systems. In this paper a modified Adaptive Binary Splitting (MABS) protocol that is to improve the binary tree protocol and reduce collisions efficiently via multi-agent systems

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Editors	B Apollini, R. J. Howlett, L. Jain
Place of Publication	Germany
Publisher	Springer
Pages	926-933
Number of pages	8
Volume	4694
Edition	1
ISBN (Electronic)	9783540748298
ISBN (Print)	9783540748281
DOIs	https://doi.org/10.1007/978-3-540-74829-8_113
Publication status	Published - 2007

Access to Document

10.1007/978-3-540-74829-8_113

Cite this

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title = "Adaptive Binary Splitting for a RFID Tag Collision Arbitration Via Multi-agent Systems",

abstract = "Radio Frequency Identification (RFID) has recently received much attention from various parties involved in supply chain management. In the RFID system, a reader recognizes tags through communications over a shared wireless channel. When multiple tags transmit their IDs at the same time, the tag to reader signals lead to collision. Various tag identification algorithms have proposed for RFID systems. In this paper a modified Adaptive Binary Splitting (MABS) protocol that is to improve the binary tree protocol and reduce collisions efficiently via multi-agent systems",

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