Fair multi-path selection for real-time video transmission in ad-hoc networks using artificial intelligence

The transmission of video data over dynamically connected ad-hoc networks is challenging. Strict minimum delay and low bit error rate are the main requirements for real-time video transmission. Layer Coding and Multi-path Description Coding are the two most popular source coding solutions for this task. MDC and LC both require a multi-path protocol to achieve high performance in video playback. Naturally a suitable multi-path selection would determine a set of shortest paths between source and destination to satisfy the real-time requirements. However the high contention for the shortest path would lead to ineffective use in network resources. In this paper a multi-path selection scheme is introduced using appropriate feedback information, fuzzy logic and depth first search. The aim of path selection is to achieve the optimal balance between effective use of network resources and real-time video requirements.