Hybrid Anti-Collision Protocol for RFID-IoT Networks Based on Artificial Immune and Neural Networks

Abstract

This article explores the integration of Radio-Frequency Identification (RFID) technology within the Internet of Things (IoT) to enhance object monitoring systems, with a specific emphasis on addressing challenges such as RFID reader mobility and collisions. RFID, known for its capability to uniquely identify and track objects through radio-frequency signals, is synergistically combined with the IoT, creating a seamless framework for comprehensive object monitoring. This article proposes a hybrid anti-collision protocol leveraging both artificial neural networks (ANNs) and artificial immune networks (AINs) within the dynamic IoT environment. The performance of this hybrid protocol is evaluated against existing protocols, highlighting its superior read rate compared with other methods.