QoE-Aware Routing for Video Streaming over VANETs

In-vehicle multimedia applications are gaining interest since recent years. However, the high loss rate caused by high mobility in vehicular ad-hoc networks (VANETs) imposes several challenges in multimedia transmission. Moreover, in the context of multimedia, the quality of service (QoS)-based approaches assess the quality of streaming services through network-oriented metrics while the concept of quality of experience (QoE) is built upon the perception of users. Consequently, adopting QoE metric to control multimedia streams in VANETs is interesting and relevant. In this paper, a QoE-based routing protocol for video streaming over VANETs is proposed. By taking the mean opinion score (MOS) into account for path selection, a better performance can be achieved. Simulation results demonstrate how the proposed scheme improves the performance of video streaming applications in VANETs.

[1]  Elmar Gerhards-Padilla,et al.  BonnMotion: a mobility scenario generation and analysis tool , 2010, SimuTools.

[2]  Sherali Zeadally,et al.  Real-time QoE prediction for multimedia applications in Wireless Mesh Networks , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

[3]  Onur Altintas,et al.  Survey of Routing Protocols for Inter-Vehicle Communications , 2006, 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops.

[4]  Ricardo Matos,et al.  Quality of experience-based routing in multi-service wireless mesh networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  Imran Khan,et al.  Performance evaluation of AODV and OLSR in highly fading vehicular ad hoc network environments , 2009, 2009 IEEE 13th International Multitopic Conference.

[6]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[7]  Peter Brooks,et al.  User measures of quality of experience: why being objective and quantitative is important , 2010, IEEE Network.

[8]  Pablo Rodríguez-Bocca,et al.  Quality-centric design of Peer-to-Peer systems for live-video broadcasting , 2008 .

[9]  Kelvin Lopes Dias,et al.  A quality of experience handover architecture for heterogeneous mobile wireless multimedia networks , 2013, IEEE Communications Magazine.

[10]  Adlen Ksentini,et al.  Quality of Experience Measurement Tool for SVC Video Coding , 2011, 2011 IEEE International Conference on Communications (ICC).

[11]  Adlen Ksentini,et al.  QoE-based energy conservation for VoIP over WLAN , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[12]  Benoît Parrein,et al.  Multipath optimized link state routing for mobile ad hoc networks , 2011, Ad Hoc Networks.

[13]  Kandaraj Piamrat Quality-aware Resource Management inWireless Networks , 2010 .

[14]  D. Manivannan,et al.  Unicast routing protocols for vehicular ad hoc networks: A critical comparison and classification , 2009, Pervasive Mob. Comput..

[15]  Gerardo Rubino,et al.  A study of real-time packet video quality using random neural networks , 2002, IEEE Trans. Circuits Syst. Video Technol..

[16]  Rui Dinis,et al.  Towards the Use of XOR-Based Routing Protocols in Vehicular Ad Hoc Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[17]  A. Laouiti,et al.  Optimized link state routing protocol for ad hoc networks , 2001, Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century..