Empirical Analysis of Extended QX-MAC for IOT-Based WSNS

The Internet of Things (IoT) connects our world in more ways than we imagine. Wireless sensor network (WSN) technology is at the core implementing IoT architectures. Although WSN applications give us enormous opportunities, their deployment challenging because energy constraint nodes. primary design objective WSNs therefore to maximize efficiency. Enhancing quality service (QoS), such as latency, another crucial factor, particularly for different delay-sensitive applications. Medium access control (MAC) protocols are paramount importance achieve these targets. Over years, several duty-cycled MAC were proposed. Among them, strobed preamble approach introduced X-MAC has gained much interest field its theoretical advantages. However, highly efficient only under light traffic. Under heavy traffic, incurs high per-packet overhead and extra delay. In addition, flaws that can significantly degrade performance. this paper, point out some specific malfunctions original propose alternatives reduce impact. We present an energy-efficient, traffic-adaptive protocol called QX-MAC addresses foreseen shortcomings X-MAC. integrates Q-learning bit scheme enable nodes adapt active period duty cycle accordance with incoming Finally, performance thoroughly analyzed compared other reference validate efficacy. Our simulation results demonstrate substantial improvements overall terms consumption, packet loss, delay, or throughput.