ENHANCING IOT DEVICE COMMUNICATION PROTOCOLS WITH AI AND MACHINE LEARNING

Abstract

The evolution of wi-fi networks has brought about substantial improvements in supplying new services to users via progressive community and tool technologies. The upcoming deployment of 5G community structures is ready to permit large connectivity, excessive throughput, low latency, superior electricity efficiency, and stepped forward security. With a focus on supporting a extensive range of IoT programs, including smart healthcare, agriculture, industrial manufacturing, shrewd visitors management, and strength structures, 5G is laying the inspiration for the next wave of wireless era. However, the growing wide variety of IoT gadgets has sparked studies into past-5G and 6G structures, aiming to offer greater bandwidth and better-nice service for larger networks. Artificial intelligence (AI) and system studying (ML) are emerging as vital technologies to optimize IoT network operations. This paper explores the role of AI/ML algorithms in developing energy-green, secure, and scalable IoT networks. It especially addresses key challenges in the layout of future IoT verbal exchange structures, highlighting applications in smart healthcare, agriculture, transportation, smart grids, and commercial automation. The paper concludes through discussing destiny research instructions for integrating AI/ML in overcoming the challenges of next-generation IoT networks.