Intelligent Control for Video Broadcasting in Flying Ad Hoc Networks: A Simulation Study

Abstract

This paper proposes an automated system for managing video stream transmission in Flying Ad hoc NETWORK (FANETs) specifically designed for search and rescue operations. The system utilizes a model-based approach to generate recommendations to support decision-making regarding the transmission or blocking of video streams, contributing to improved video broadcasting quality. Simulation experiments demonstrate that the automated system significantly increases the probability of making correct decisions compared to relying on the dispatcher's judgment alone, enhancing operational efficiency and effectiveness. Future work will focus on expanding the model's complexity, incorporating real-world constraints, and exploring the potential of machine learning for adaptive optimization.