Optimization driven Multipath Routing for the video transmission in the VANET

Video streaming in the vehicular ad hoc networks (VANETs) can be considered as one of the challenging topics for the researchers, as the VANET architecture is highly dynamic. For the successful video transmission, it is necessary to develop a multipath routing algorithm in the VANET for reducing the loss of information. In this work, a multipath routing algorithm is developed for the video transmission using the optimization approach. As the video files are bulky, they are encoded with the HEVC encoding scheme to form the bit stream. Then, the possible paths between the source and the destination are discovered. This work adopts the genetic algorithm (GA) for selecting the optimal multipaths from the path for the video transmission. After identifying the optimal multipaths, the bit stream is transmitted through the multipaths to reach the destination. The performance of the proposed approach is evaluated based on metrics, end to end delay (EED) and throughput. The simulation results reveal that the proposed GA based multipath routing scheme has achieved improved performance with the value of 6.928 sec and 89.886 for the EED and the throughput, respectively.