A Novel QoE based SDN-Based Multipath Routing Approach using hybrid optimization algorithm enabled multi-media service in 5G

Abstract

The rapid evolution of 5G services, driven by advancements in communication technologies and intelligent devices, has led to a surge in high-quality multimedia applications such as video streaming, augmented reality (AR), and virtual reality (VR). These services require robust, reliable, and efficient network solutions to meet the growing demands for high throughput, ultra-low latency, and service reliability. This paper proposes a novel SDN-based multipath routing approach, leveraging a hybrid optimization algorithm called Eel Grouper Flamingo Search Algorithm (EGFSA), to enhance the delivery of multimedia services in 5G networks. The hybrid EGFSA combines the Eel and Grouper Optimizer (EGO) and Flamingo Search Algorithm (FSA) to optimize routing by considering multiple objectives such as energy, distance, delay, and throughput. The proposed approach is implemented using SDN-enabled OpenFlow and Mininet simulations, evaluating performance based on key metrics like delay, energy efficiency, and Bit Error Rate (BER). The results demonstrate significant improvements in network performance, offering an effective solution for handling heterogeneous access and dynamic traffic in large-scale 5G multimedia services.