A SDN-Based Load Balancing Algorithm for IoT Traffic Data and Network Performance Evaluation
V. Tirupathi, K. Sagar · International Journal of Electronics and Communication Engineering · 2023
The Internet of Things (IoT) is constantly evolving as more people utilize internet-connected devices in daily life. As this trend continues, network traffic increases, and communication quality requirements, especially IoT devices and application QoS, become difficult to achieve. This research introduces an SDN-based load-balancing technique to address these issues. The approach uses an upgraded Floyd-Warshall algorithm to optimize MQTT client device network connectivity. The suggested sparse graph-specific Floyd-Warshall algorithm is simple but effective. Optimization is essential for successfully managing IoT networks and minimizing the need for more complicated and resource-intensive solutions. The solution automates network configuration with a centralized controller using SDN. This method provides programmability, network visibility, and real-time resource allocation based on dynamic network information. SDN simplifies load-balancing algorithm implementation, improving its effectiveness. This study emphasizes the need for SDN in managing IoT traffic volume. The study focuses on MQTT broker throughput, packet loss, and communication delays to improve network performance. The authors used Mininet, a widespread network emulation tool, to test the method’s efficacy. The simulation results show that the suggested strategy accomplishes efficient network load balancing and considerably improves IoT device performance. The research emphasizes the importance of solving the issues IoT device adoption faces. The paper introduces an SDN-based Load Balancing Algorithm (LBA) to increase IoT network communication quality and efficiency. The authors demonstrate that their approach improves network load balancing and device performance through simulations. This research advances IoT technology and its smooth integration into daily life by enabling more resilient and scalable IoT systems.