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Abstract-Video is a significant medium in data communication through which enormous information could be conveyed in less time. Video Streaming helps us play the streamed data immediately without waiting for the entire file to get downloaded. When the quality of service of video streaming is considered, delay and jitter act as very important parameters, as video streams received late cannot be played and become useless hence wasting the network resources. In Vehicular Adhoc Networks, a special type of Mobile Adhoc Networks, the two possible usages of video streams are in infotainment applications and in the safety applications. In either case, these parameters play a major role. One of the vital techniques that are applied to reduce the delay encountered is Network coding. This paper simulates the transfer of the video streams from one vehicle to another in a group of vehicles in Vehicular Adhoc Networks. Network coding is applied on the video packets here. The routes are established with routing protocols OLSR, AODV and DSDV in the above mentioned scenarios. Node density is varied and these parameters of interest are monitored and analyzed.

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The transmission of video files in Vehicular Adhoc Networks (VANETs) has become very prevalent as commuters prefer video data during travel. The delay with which the data is received becomes very significant as video packets received after their scheduled deadlines become useless. The performance of the network may significantly be reduced on such packet drops especially with mobile networks. This work aims at the reduction of end to end delay of video packets by applying the two techniques-Network Coding (NC) and RaptorQ (RQ) codes. The techniques are implemented in four VANET scenarios and an extensive analysis is done by varying the packet sizes during the transmission of three files of various sizes. The End to End Delay (EED) and Packet Delivery Ratio (PDR) are measured and plotted for all scenarios. The results show the influence of packet size on these parameters considered and the suitability of the techniques applied. The observations also show that RQ proves better for smaller files and NC suits better when the file size increases.