IE-RAP: An Intelligence and Efficient Reader Anti-Collision Protocol for Dense RFID Networks

TL;DR

The paper introduces IE-RAP, a novel RFID anti-collision protocol that significantly enhances network throughput, reduces waiting time and energy consumption, and supports mobile reader integration in dense environments.

Contribution

It presents a new centralized protocol combining TDMA and FDMA with innovative techniques like SIFT and distance calculation to improve RFID network performance.

Findings

Increases throughput by 26%

Reduces average waiting time by 74%

Lowers energy consumption by 52%

Abstract

An advanced technology known as a radio frequency identification (RFID) system enables seamless wireless communication between tags and readers. This system operates in what is referred to as a dense reader environment, where readers are placed close to each other to optimize coverage. However, this setup comes with its challenges, as it increases the likelihood of collisions between readers and tags (reader-to-reader and reader-to-tag), leading to reduced network performance. To address this issue, various protocols have been proposed, with centralized solutions emerging as promising options due to their ability to deliver higher throughput. In this paper, we propose the Intelligence and Efficient Reader Anti-collision Protocol (IE-RAP) that improves network performance such as throughput, average waiting time, and energy consumption, which employs a powerful combination of Time Division Multiple Access (TDMA) and Frequency Division Multiple Access (FDMA) mechanisms. IE-RAP improves the efficiency of RFID networks through techniques such as the SIFT function and distance calculation between readers. By preventing re-read tags and ensuring the on-time release of the communication channel, we effectively eliminate unnecessary collisions. Our simulations emphasize the superiority of our proposed method, it increases 26% throughput, reduces 74% the average waiting time, and lower by 52% the energy consumption compared to existing approaches. Importantly, our solution supports the seamless integration of mobile readers within the network.