V3: A Vehicle-to-Vehicle Live Video Streaming Architecture
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Increasing broadcast reliability in vehicular ad hoc networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Adaptive UEP and packet size assignment for scalable video transmission over burst-error channels
EURASIP Journal on Applied Signal Processing
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
A knowledge-based inference multicast protocol using adaptive fuzzy Petri nets
Expert Systems with Applications: An International Journal
IEICE - Transactions on Information and Systems
An Entropy-Based Fuzzy Controllers QoS Routing Algorithm in MANET
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 03
IEEE Transactions on Information Theory
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Video communication VANETs has many applications, such as emergency video transmission or inter-vehicle entertainment. However, delivering video to high mobile vehicles faces challenges such as packet loss due to intermittent connectivity and channel variations. Thus, designing a reliable approach for video streaming over such harsh scenarios is needed. Hence, we propose a reliable approach based on random practical network coding and source coding. This approach integrates the benefits of network coding with Multiple Description Coding to achieve robust streaming over VANET. Furthermore, we propose a redundancy controller based on fuzzy inference system to adjust the amount of redundant packets based on vehicular traffic density and SNR of the channel. Simulation shows the proposed approach achieves better protection against packet loss, application layer throughput and video quality.