Optimum frame size evaluation framework for efficient tag identification in passive RFID systems

Abstract

In passive Radio Frequency Identification (RFID) systems, tag collisions are more frequent due to lack of processing elements. Dynamic frame slotted ALOHA algorithms (DFSA) are popularly being used in passive RFID systems for collision avoidance. In DFSA based algorithms, selection of frame size has become a major research problem. Further nonoptimized frame size selection by reader may lead to energy consumption. In this paper a framework for optimum frame size evaluation has been proposed. This framework firstly achieves a condition for optimum frame size evaluation, and utilizes this value in new proposed DFSA algorithm. Proposed framework achieves a throughput of more than 35% along with lowest possible energy consumption by reader.