Optimization of the RFID network in IoT through Hybrid Genetic Algorithmz

Several cutting-edge technologies, like as Radio Frequency Identification (RFID) optimization and sensors, are enabling the Internet of Things (IoT). Using a unique code connected with tags, this radio frequency identification technology allows the sensor to read from a distance without requiring sight contact. Optimal tag coverage, cost efficiency, and quality of service needs are all important considerations when deploying RFID networks. We investigated optimization approaches for RFID in Internet of Things (IoT) devices in this paper. RFID optimization saves processing time, hardware costs, and improves efficiency. Random search strategies based on Artificial Intelligence (AI) are more suited than deterministic methods that are difficult to solve in polynomial time. In this paper, we present a hybrid algorithm that combines PSO and GA features to improve the efficiency of an IoT network system.