A distributed beaconless routing protocol for real-time video dissemination in multimedia VANETs

We design a framework for video (and in general high data rate applications) transmission over a VANET.Our framework includes both application and routing layer design.We analyze MAC layer behavior and improve its utilization by solving the Spurious Forwarding problem.We tested our protocols on a real scenario, and considered both QoS and QoE, including MOS experiments in a real car.We grant a high data rate in ad-hoc mode, also for long distance, through our backbone beaconless approach. Vehicular Ad-Hoc Networks (VANETs) will play an important role in Smart Cities and will support the development of not only safety applications, but also car smart video surveillance services. Recent improvements in multimedia over VANETs allow drivers, passengers, and rescue teams to capture, share, and access on-road multimedia services. Vehicles can cooperate with each other to transmit live flows of traffic accidents or disasters and provide drivers, passengers, and rescue teams rich visual information about a monitored area. Since humans will watch the videos, their distribution must be done by considering the provided Quality of Experience (QoE) even in multi-hop, multi-path, and dynamic environments. This article introduces an application framework to handle this kind of services and a routing protocol, the DBD (Distributed Beaconless Dissemination), that enhances the dissemination of live video flows on multimedia highway VANETs. DBD uses a backbone-based approach to create and maintain persistent and high quality routes during the video delivery in opportunistic Vehicle to Vehicle (V2V) scenarios. It also improves the performance of the IEEE 802.11p MAC layer, by solving the Spurious Forwarding (SF) problem, while increasing the packet delivery ratio and reducing the forwarding delay. Performance evaluation results show the benefits of DBD compared to existing works in forwarding videos over VANETs, where main objective and subjective QoE results are measured.

[1]  Sooksan Panichpapiboon,et al.  A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks , 2012, IEEE Communications Surveys & Tutorials.

[2]  Zhu Han,et al.  Dynamic Popular Content Distribution in Vehicular Networks using Coalition Formation Games , 2012, IEEE Journal on Selected Areas in Communications.

[3]  Xu Li,et al.  A Distance-Based Directional Broadcast Protocol for Urban Vehicular Ad Hoc Network , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  Ozan K. Tonguz,et al.  On the Broadcast Storm Problem in Ad hoc Wireless Networks , 2006, 2006 3rd International Conference on Broadband Communications, Networks and Systems.

[5]  Mahamod Ismail,et al.  Vehicular communication ad hoc routing protocols: A survey , 2014, J. Netw. Comput. Appl..

[6]  Sunilkumar S. Manvi,et al.  Information management in vehicular ad hoc networks: A review , 2014, J. Netw. Comput. Appl..

[7]  Vint,et al.  NS Notes and Documents , 2002 .

[8]  Adam Wolisz,et al.  EvalVid - A Framework for Video Transmission and Quality Evaluation , 2003, Computer Performance Evaluation / TOOLS.

[9]  Azzedine Boukerche,et al.  Performance evaluation of video dissemination protocols over Vehicular Networks , 2012, 37th Annual IEEE Conference on Local Computer Networks - Workshops.

[10]  Kien A. Hua,et al.  Performance Study of Live Video Streaming Over Highway Vehicular Ad Hoc Networks , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[11]  Eduardo Cerqueira,et al.  Video quality estimator for wireless mesh networks , 2012, 2012 IEEE 20th International Workshop on Quality of Service.

[12]  Wu-chi Feng,et al.  GPS-based message broadcast for adaptive inter-vehicle communications , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[13]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[14]  Eduardo Cerqueira,et al.  Framework for the integrated video quality assessment , 2012, Multimedia Tools and Applications.

[15]  Somnuk Puangpronpitag,et al.  Cross-layer optimization of Vehicle-to-Vehicle video streaming for overtaking maneuver assistance systems , 2013, 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN).

[16]  Chenn-Jung Huang,et al.  An adaptive multimedia streaming dissemination system for vehicular networks , 2013, Appl. Soft Comput..

[17]  Izhak Rubin,et al.  Timer-Based Distributed Dissemination Protocols for VANETs and Their Interaction with MAC Layer , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[18]  Ozan K. Tonguz,et al.  Broadcast storm mitigation techniques in vehicular ad hoc networks , 2007, IEEE Wireless Communications.

[19]  Daniel Krajzewicz,et al.  SUMO - Simulation of Urban MObility An Overview , 2011 .

[20]  Kuochen Wang,et al.  Dynamic overlay multicast for live multimedia streaming in urban VANETs , 2012, Comput. Networks.

[21]  Azzedine Boukerche,et al.  VIRTUS: A resilient location-aware video unicast scheme for vehicular networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[22]  Mario Gerla,et al.  Vehicular communications: emergency video streams and network coding , 2010, Journal of Internet Services and Applications.

[23]  Luciano Bononi,et al.  Group communication on highways: An evaluation study of geocast protocols and applications , 2013, Ad Hoc Networks.

[24]  Chunming Qiao,et al.  On-road video delivery with integrated heterogeneous wireless networks , 2013, Ad Hoc Networks.

[25]  Yevgeni Koucheryavy,et al.  The Use of Automotive Radars in Video-Based Overtaking Assistance Applications , 2013, IEEE Transactions on Intelligent Transportation Systems.