Enhancing QoS in Computer Networks Through IoT Integration

Abstract

Integrating Internet of Things (IoT) in computer networks introduces new opportunities and challenges in ensuring Quality of Service (QoS) across increasingly interconnected systems. As IoT devices proliferate, networks must manage large volumes of data while maintaining low latency, optimal bandwidth utilization, and reliable connectivity. Traditional network models struggle to meet these demands, especially in dynamic environments. This paper explores how IoT integration enhances QoS by enabling real-time monitoring, efficient traffic management, and adaptive resource allocation within networks. It highlights the role of intelligent protocols and architectures, including Software-Defined Networking (SDN) and edge computing, to ensure scalability and performance. Furthermore, this research addresses how predictive analytics and IoT-driven automation improve fault tolerance, reduce downtime, and minimize network congestion.

This paper demonstrates, through an analysis of recent studies and practical implementations, that IoT-enhanced networks can significantly optimize QoS across applications such as healthcare, transportation, and industrial automation. The findings suggest that a well-orchestrated integration of IoT not only meets the growing performance demands but also ensures sustainable and secure network management.