Mobile Video Multipath Concurrent Transmission Over Heterogeneous Wireless Networks Based on ACO

Abstract

In the past few years, data traffic generated by video applications has become the dominant traffic on the internet due to the rapid development of wireless network and mobile terminal. However, using a single wireless network for video transmission with limited bandwidth is facing great challenges under the increasing video quality requirement. Fortunately, mobile terminal equipped with multiple network interfaces can transmit data over heterogeneous wireless networks concurrently to achieve higher bandwidth. In order to make effective use of heterogeneous access network resources, this paper develops a heuristic flow splitting algorithm based on ACO (Ant Colony Optimization) algorithm. Firstly, a system model with the objective that minimizes the multipath video transmission distortion is proposed under the end-to-end delay constraint. Secondly, to solve the problem based on heuristic ACO, the relevant models such as pheromone model and reliability model are presented, and a heuristic ACO algorithm is proposed. Finally, the proposed algorithm is tested and evaluated in the real-world platform. The evaluation results show that the proposed algorithm performs better than the referenced traditional algorithm in terms of PSNR and end-to-end frame delay.