OneM2M-BasedAdaptive Loss Recovery mechanisms for enhancing Scalability and Quality of Service in IoT networks

The technological world has known major advancements, leading to the creation of new paradigms like the Internet of Things (IoT). IoT is a combination between two concepts , the "Internet" and "Things" .This innovative notion connects billions of devices, enabling automation and smarter systems across industries like healthcare, smart cities, and manufacturing. By integrating concepts such as M2M, Big Data, and AI, IoT has transformed communication and innovation. However, as IoT networks expand, they face challenges like scalability, increased latency, limited bandwidth, and higher error rates, which impact Quality of Service (QoS).This paper proposes implementing Simple Automatic Repeat reQuest loss recovery mechanisms within IoT architecture to enhance QoS and address scalability challenges, ensuring reliable performance even as the network grows.