چكيده به لاتين
Video transmission is performed in Vehicular Adhoc Networks (VANETs) with the aim of safety and non-safety applications. In this PhD thesis, new routing algorithms are presented to facilitate realtime and non-realtime video transmission in VANET environments.
The innovations of this thesis are stated in three parts. In the first part, a new multipath routing algorithm, called AMGRV, is proposed. The AMGRV provides fast and QoS aware video file transmission in VANETs. The proposed route discovering algorithm is described in this part. It is notable that the discovered routes are geographically independent.The proposed routing algorithm discoveres enough number of geographically independent routes between source and destination vehicles. It also computes the connectivity probability of every discovered route. The connectivity probability of a route is the probability of error free video packets delivery through it. In this part, the method of calculating route connectivity probability is proposed and corresponding mathematical equations are derived. The route discovering algorithm and corresponding mathematical equations are presented in this part.
In the second part, PLR is minimized by optimally distributing video packets in multiple routes while meeting quality of service (QoS) parameters (meeting freezing delay and number of transferred video packets constraints). By doing so, reconstruction and playback of the video are achieved with guaranteed QoS. The proposed routing algorithm is called EAMGRV. In this part, the proposed optimization problem is described and solved. Moreover, the proposed optimization should be performed multiple times during video content transfer. The period of time after which the optimization would be necessary is also derieved in this section.
In the third part, the routing algorithm AMGRV (proposed in the first part) is re-designed for transferring real-time video contents. The proposed routing algorithm is called AMGRV+. The AMGRV+ utilizes both geographically independent routes proposed by the AMGRV, and partially geographically correlated routes. The partially geographically correlated routes, helps the source vehicle to increase the speed of video contents transfer. It also take advantage of a route repair strategy to handle the packets trapped in broken routes. In this part, the discovering algorithm of partially geographically independent routes is described. Moreover, the proposed route repair strategy is also explained.
