A preliminary study on multi-view video streaming over underwater acoustic networks

Abstract

Several techniques to realize multi-view video streaming have been recently proposed for terrestrial wireless networks. Multi-view video allows users to watch object of interest from different angle and can be applied to many applications. Nonetheless, the existing techniques do not cater for high-latency networks, such as underwater acoustic networks. Due to the slow speed of sound in water, the response delay of multi-view video becomes longer, which in turn degrades users' experience. This paper proposes a new approach, called Feedback-based Multi-view video Streaming for Underwater Acoustic Networks (FMS-UAN) so as to reduce the response delay of multi-view video streaming. FMS-UAN has two unique features. First, a sender can transmit its predicted frames before receiving feedback frame from a receiver node. We exploit long propagation delay by allowing both sender and receiver to simultaneously transmit their respective frames to each other in a collision-free manner. Second, even if the prediction was wrong, the sender still can encode the correct frame area with transmitted frames to reduce the retransmission bit-rate.