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Distortion aware novel routing protocol for video transmission over MANETs

High packet error probability due to congestion and noise in Mobile Ad-Hoc Networks (MANETs) can cause high levels of distortion in transmitted video. Hence, modeling of the impact of packet loss on video quality and the resulting distortion is an important task. Many conventional distortion modeling techniques simply consider a linear relationship between the packet loss and distortion, which is inaccurate. The main contributions of the current work are twofold. At first, a probabilistic model to estimate video distortion has been developed and based on this model a feedback based routing strategy is proposed using smart mobile nodes capable of making decisions considering network-specific constraints like congestion and signal-to noise ratio(SNR). Loss-induced distortion associated with a video source is targeted in the proposed protocol using cross-layer design technique. The experiment results are obtained and compared with contemporary rate-adaptive strategy. The results show improvement in video quality for most of the channel environments.