IoT Sensor Networks Optimization for Ultra-Low Latency in 6G URLLC Environment

Abstract

Internet of Things (IoT) is rapidly expanding with billions of connected devices. The demand for wireless sensor connections that work well and are effective has increased as a result of this growth. Within the framework of 6G Ultra-Reliable Low Latency Communications (URLLC) standards, the goal of this study is to look at how to improve wireless sensor networks (WSNs), with a focus on Internet of Things applications. Leveraging advanced 6G features like ultra-low latency and high reliability, our study addresses real-time IoT demands in smart infrastructure, healthcare, and automation. We propose an enhanced hybrid gray wolf optimization (IHGWO) method to optimize WSN performance by reducing latency and improving reliability. This paper demonstrates that our method significantly reduces connection delay in high speed 6G URLLC scenarios. This makes communication in IoT networks faster and more responsive