Swarm Intelligence-Based Decision Support Systems for Adaptive Video Streaming: Navigating Real-Time Challenges in Dynamic Environments

The rapid evolution of adaptive video streaming technologies has necessitated real-time decision-making mechanisms to enhance Quality of Service (QoS) and Quality of Experience (QoE). This review paper explores the integration of Swarm Intelligence (SI) into Decision Support Systems (DSS) for adaptive streaming, emphasizing their role in dynamic and uncertain environments. The paper provides a comprehensive overview of swarm intelligence algorithms, their applications in decision support, and their specific relevance to the challenges posed by adaptive video streaming. Through a detailed examination of existing models and case studies, the review showcases how swarm intelligence adapts to real-time streaming decisions based on dynamic and uncertain information. The paper also addresses the technical integration challenges, performance metrics, and scalability considerations associated with implementing swarm intelligence in adaptive streaming systems. Furthermore, it discusses the impact of swarm intelligence on the overall QoS and QoE. The review concludes by outlining future research directions, emerging trends, and unresolved challenges in the synergistic domain of swarm intelligence and adaptive video streaming decision support systems