Novel Anti-Collision Algorithm in RFID Tag Identification Process

Abstract

Radio Frequency Identification (RFID) system is a new communication technology identifying one or more objects simultaneously in favor of using electromagnetic waves. In RFID systems, tags and readers communicate together over a shared wireless channel, and their signals may collide during transmission process and collision problem may occur in these systems. When two or more tags want to communicate with the reader, this collision problem may occur. This collision problem will waste the time for identification and it is also energy consuming as well and consequently reduces efficiency of the tag identification process. Therefore, it is required to attempt minimizing collision occurrence and decrease possibility of collision by using RFID anti-collision algorithms. In this project a novel Anti-collision Algorithm was suggested, which is called Enhance Dynamic Tree Slotted Aloha (EDTSA) by combining Tree slotted ALOHA and Advance Dynamic Framed Slotted Aloha Anti-Collision Algorithms and using Cubic Spline-based tag estimation technique. We have designed this algorithm by using C# programming language in visual studio 2008. The final results has simulated and compared with other algorithms. Simulated results also have illustrated that proposed algorithm can improve the efficiency of RFID systems.