This paper reports on the design of an OPNET simulation platform to test the performance of sending real-time safety video over VANET (Vehicular Adhoc NETwork) using the WiMAX technology. To provide a more realistic environment for streaming real-time video, a video model was created based on the study of video traffic traces captured from a realistic vehicular camera, and different design considerations were taken into account. A practical controller over real-time streaming protocol is implemented to control data traffic congestion for future road safety development. Our driving video model was then integrated with the WiMAX OPNET model along with a mobility model based on real road maps. Using this simulation platform, different mobility cases have been studied and the performance evaluated in terms of end-to-end delay, jitter and visual experience.
References
[1]
IEEE P802.16-REVd/D4, Air Interface for Fixed Broadband Wireless Access System. Available online: http://hunter.hosted.pl/tts/Strony_www_TTS_2004.2005/LMDS__Marcin.Gilewski_Lukasz.Waksmanski/airInterface.pdf (accessed on 17 July 2012).
[2]
Ramage-Morin, P.L. Motor Vehicle Accident Deaths, 1979 to 2004. Component of Statistics Canada Catalogue No. 82-003-X Health Reports; Statistics Canada: Ottawa, Ontario, Canada, 2008. Available online: http://www.statcan.gc.ca/pub/82-003-x/2008003/article/10648-eng.pdf (accessed on 17 July 2012).
[3]
Transport Canada. Canadian Motor Vehicle Traffic Collision Statistics: 2007. Available online: http://www.tc.gc.ca/eng/roadsafety/tp-tp3322-2007-1039.htm (accessed on 17 July 2012).
[4]
Heyman, D.; Lakshman, T. What are the implications of long-range dependence for VBR-video traffic engineering? IEEE/ACM Trans. Netw. 1996, 4, 301–317.
[5]
Ryu, B.; Elwalid, A. The importance of long-range dependence of VBR video traffic in ATM traffic engineering: myths and realities. ACM SIGCOMM Comput. Commun. Rev. 1996, 26, 3–14.
[6]
Li, X.; Huang, H.; Shu, W. VStore: Towards Cooperative Storage in Vehicular Sensor Networks for Mobile Surveillance. In Proceedings of the IEEE Wireless Communication and Networking Conference (WCNC), Budapest, Hungary, 5–8 April 2009; pp. 1–6.
[7]
Huang, J.; Qian, H. Video Encryption for Security Surveillance. In Proceedings of the 41st Annual IEEE International Carnahan Conference on Security Technology, Ottawa, Ontario, Canada, 8–11 October 2007.
[8]
Jacobson, V.; Braden, R.; Borman, D. TCP Extensions for High Performance. May 1992. Available online: http://www.ietf.org/rfc/rfc1323.txt (accessed on 17 July 2012).
[9]
Postel, J. User Datagram Protocol. 28 August 1980. Available online: http://www.ietf.org/rfc/rfc768.txt (accessed on 17 July 2012).
[10]
Balk, A.; Maggiorini, D.; Gerla, M.; Sanadidi, M.Y. Adaptive MPEG-4 Video Streaming with Bandwidth Estimation. In Proceedings of the 2nd International Workshop on Quality of Service in Multiservice IP Networks, Milano, Italy, 24 February 2003; pp. 525–538.
[11]
Schulzrinne, H.; Casner, S.; Frederick, R.; Jacobson, V. RTP: A Transport Protocol for Real-Time Applications. Available online: http://www.ietf.org/rfc/rfc3550.txt (accessed on 17 July 2012).
[12]
Liu, B.; Khorashadi, B.; Du, H.; Ghosal, D.; Chuah, C.-N.; Zhang, M. VGSim: An integrated networking and microscopic vehicular mobility simulation platform. IEEE Commun. Mag. 2009, 47, 134–141.
[13]
Sommer, C.; Dressler, F. Progressing toward realistic mobility models in VANET simulations. IEEE Commun. Mag. 2008, 46, 132–137, doi:10.1109/MCOM.2008.4689256.
[14]
Wegener, A.; Hellbruck, H.; Wewetzer, C. VANET Simulation Environment with Feedback Loop and its Application to Traffic Light Assistance. In Proceedings of the 2008 IEEE GLOBECOM Workshop, New Orleans, LA, USA, 30 November–4 December 2008; Volume 3, pp. 1–7.
[15]
Fiore, M.; Harri, J.; Filali, F.; Bonnet, C. Vehicular Mobility Simulation for VANETs. In Proceedings of the 40th Annual Simulation Symposium. ANSS 07, Norfolk, VA, USA, 26–28 March 2007; pp. 301–309.
[16]
D1.3.1—VanetMobiSim: The Vehicular Mobility Model Generator Tool for CARLINK. Available online: http://carlink.lcc.uma.es/doc/provis/D1.3.1-VanetMobiSim%20The%20vehicular%20mobility%20model%20generator%20tool%20for%20CARLINK.pdf (accessed on 17 July 2012).
[17]
OPNET. Analyze and Troubleshoot Application Performance from a Network Perspective. Available online: http://www.opnet.com/solutions/brochures/ACE_Analyst.pdf (accessed on 17 April 2010).
[18]
Tian, L.T. Research on Intelligent Transportation Systems in Taiwan. In Proceedings of the 27th Chinese Control Conference, 16–18 July 2008; pp. 18–23.
[19]
Laskowski, M.; Friesen, M.R.; McLeod, R.D.; Ferens, K. Rapid Prototyping Vehicle-to-Infrastructure Applications Using the AndroidTM Development Platform. In Proceedings of the 2009 9th International Conference on Intelligent Transport Systems Telecommunications, (ITST), Lille, France, 20–22 October 2009; pp. 273–278.
[20]
Intel. Intel CTO Rattner Outlines Research Challenges in Home, Car and Network Energy Consumption. Available online: http://www.intel.com/pressroom/archive/releases/2010/20100413comp.htm (accessed on 17 April 2010).
[21]
Lalonde, J.; Laganière, R.; Martel, L. Single-View Obstacle Detection for Smart Back-Up Camera Systems. In Proceedings of the 2012 Computer Vision and Pattern Recognition Workshops (CVPRW), Providence, RI, USA, 16–21 June 2012.
[22]
Hoogendoorn, S.P.; Bovy, P.H. State-of-the-art of vehicular traffic flow modelling. Proc. Inst. Mech. Eng. 2001, 215, 283–303.
[23]
Zhang, S. Object Tracking in Unmanned Aerial Vehicle (UAV) Videos Using a Combined Approach. In Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, USA, 18–23 March 2005.
[24]
Harri, J.; Filali, F.; Bonnet, C. Mobility models for vehicular ad hoc networks: A survey and taxonomy. IEEE Commun. Surv. Tutor. 2009, 11, 19–41, doi:10.1109/SURV.2009.090403.
[25]
Beran, J.; Sherman, R.; Taqqu, M.S.; Willinger, W. Long-range dependence in variable-bit-rate video traffic. IEEE Trans. Commun. 1995, 43, 1566–1579.
[26]
Hong, S.H.; Park, R.; Lee, C.B. Hurst parameter estimation of long-range dependent VBR MPEG Video traffic in ATM Networks. J. Vis. Commun. Image Represent. 2001, 12, 44–65, doi:10.1006/jvci.2000.0463.
[27]
Haghani, E.; Parekh, S.; Calin, D.; Kim, E.; Ansari, N. A quality-driven cross-layer solution for MPEG video streaming over WiMAX networks. IEEE Trans. Multimed. 2009, 11, 1140–1147, doi:10.1109/TMM.2009.2026099.
[28]
Krunz, M.; Tripathi, S.K. On the characterization of VBR MPEG streams. ACM Sigmetrics Perform. Eval. Rev. 1997, 25, 192–202, doi:10.1145/258623.258688.
[29]
Matrawy, A.; Huang, C.C. MPEG4 Traffic Modeling Using the Transform Expand Sample Methodology. In Proceedings of the 2002 Gaithersburg Proceedings 2002 IEEE 4th International Workshop on Networked Appliances, Gaithersburg, MD, USA, 15–16 January 2002; pp. 249–256.
[30]
Yang, S.; Daigle, J. A Source Model of Video Traffic Based on Full-Length VBR MPEG4 Video Traces. In Proceedings of the Global Telecommunications Conference, St. Louis, MO, USA, 28 November–2 December 2005; Volume 2, p. 5.
[31]
Luo, J.; Hubaux, J.-P. A Survey of Inter-Vehicle Communication. EPFL Technical 1618 Report IC/2004/24; école Polytechnique Fédérale de Lausanne: Lausanne, Switzerland, 2004.
[32]
Gray, D. Mobile WiMAX Part I: A Technical Overview and Performance Evaluationv2.8. April 2006. Available online: http://www.wimaxforum.org/techno-Logy/downloads/Mobile_WiMAX_Part1_Overview_and_Performance.pdf (access on 17 July 2007).
[33]
Jiang, D.; Delgrossi, L. IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments. In Proceedings of IEEE Vehicular Technology Conference (VTC) Spring, Singapore, 11–14 May 2008; pp. 2036–2040.
[34]
Tufano, D.R.; Knee, H.E.; Spelt, P.F. In-Vehicle Signing Functions of an In-Vehicle Information System. Available online: http://www.osti.gov/bridge/product.biblio.jsp?query_id=3&page=0&osti_id=219502 (accessed on 17 July 2012).
[35]
Hossain, E.; Chow, G.; Leung, V.; MacLeod, R.D.; Misic, J.; Wong, V.W.S.; Yang, O. Vehicular Telematics over heterogeneous wireless networks: A survey. Comput. Commun. 2010, 33, 775–793.
[36]
Ghosh, A.; Ghosh, M. Fundamentals of WiMAX: Understanding Broadband Wireless Networking; Prentice Hall: Upper Saddle River, NJ, USA, 2007.
[37]
Zukerman, M. Back to the future. IEEE Commun. Mag. 2009, 47, 36–38.
[38]
Tanenbaum, A. Computer Networks; Prentice Hall: Upper Saddle River, NJ, USA, 1996.
[39]
Hong, Y.; Yang, O. Design of adaptive PI rate controller for best-effort in the internet based on phase margin. IEEE Trans. Parallel Distrib. Syst. 2007, 18, 550–561, doi:10.1109/TPDS.2007.1016.
[40]
Hac, A. Congestion control in a wireless network. Int. J. Netw. Manag. 1999, 9, 185–192, doi:10.1002/(SICI)1099-1190(199905/06)9:3<185::AID-NEM326>3.0.CO;2-L.
[41]
Rath, H.K.; Sahoo, A. Cross Layer Based Congestion Control in Wireless Networks. Available online: http://www.it.iitb.ac.in/research/techreport/reports/8.pdf (accessed on 17 January 2010).
[42]
Wischhof, L.; Rohling, H. Congestion Control in Vehicular Ad Hoc Networks. In Proceedings of the 2005 IEEE International Conference on Vehicular Electronics and Safety, Xi’an, China, 14–16 October 2005; pp. 58–63.
[43]
Floyd, F.; Jacobson, V. Random early detection gateways for congestion avoidance. IEEE/ACM Trans. Netw. 1993, 1, 397–413, doi:10.1109/90.251892.
[44]
Jacobson, V.; Karels, M.J. Congestion Avoidance and Control. In Proceedings of the SIGCOMM 88 Symposium on Communications Architectures and Protocols, Stanford, CA, USA, 16–18 August 1988; pp. 314–329.
[45]
Hassani, M.M.; Tavakolaie, B.H. An Analytical Model for Evaluating Utilization of TCP TAHOE Using Markovian Model. In Proceedings of the International Conference on Networking, Architecture, and Storage, NAS 2007, Guilin, China, 29–31 July 2007; pp. 257–258.
[46]
Huang, C.; Xu, L. SRC: Stable rate Control for Streaming Media. In Proceedings of the IEEE Global Telecommunications Conference GLOBECOM 03, San Francisco, CA, USA, 1–5 December 2003; pp. 4016–4021.
[47]
Hanley, M.; Floyd, S.; Padhye, J.; Widmer, J. TCP Friendly Rate Control (TFRC): Protocol Specification. Available online: http://www.ietf.org/rfc/rfc5348.txt (accessed on 17 July 2012).
[48]
Li, K. IEEE 802.16e-2005 Air Interface Overview; WiMAX Solutions Division Intel Mobility Group: Santa Clara, CA, USA, 2006.
[49]
IEEE WirelessMan 802.16, The 802.16 WirelessMAN MAC: It’s Done, but What is it? Available online: http://ieee802.org/16/docs/01/80216-01_58rl/pdf (accessed on 17 July 2009).
[50]
Ahmadi, S. Introduction to Mobile Radio Access Technology: PHY and MAC Architecture. Available online: http://vivonets.ece.ucsb.edu/ahmadiUCSB_slides_Dec7.pdf (accessed on 12 December 2009).
[51]
Ertico. GDF—Geographic Data Files. Available online: http://www.eritco.com/en/links/links/gdf_-_geographic_data_files.htm (accessed on 17 July 2010).
[52]
U.S. Census Bureau. Topologically Integrated Geographic Encoding and Referencing (TIGER) System. Available online: http://www.census.gov/geo/www/tiger (accessed on 17 February 2010).
[53]
Huang, J. Presentation for Generalizing 4IPP Traffic Model for IEEE 802.16.3. Available online: http://www.ieee802.org/16/tg3/contrib/802163p-00_58.pdf (accessed on 17 July 2012).
[54]
WireShark. Available online: http://www.wireshark.org (accessed on 17 July 2013).
[55]
Easyfit. Available online: http://www.mathwave.com/products/easyfit.html (accessed on 17 July 2009).
[56]
Gu, H.; Ji, Q. An Automated Face Reader for Fatigue Detection, Automatic Face and Gesture Recognition, 2004. In Proceedings of the Sixth IEEE International Conference, Seoul, Korea, 17–19 May 2004; pp. 111–116.
[57]
ITU-R, Guideline for Evaluation of Radio Transmission Technologies for IMT-2000. 1997. Available online: http://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.1225-0-199702-I!!PDF-E.pdf (accessed on 17 July 2012).
[58]
Mehmood, M.A.; Jadoon, T.M.; Sheikh, N.M. Assessment of VoIP Quality over Access Networks. In Proceedings of the First IEEE and IFIP International Conference in Central Asia on Internet, Bishkek, Kyrgyzstan, 26–29 September 2005; pp. 26–29.
