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Enhancing robustness of vehicular networks using virtual frameworks

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Abstract

Vehicular ad-hoc network (VANET) is one of the most transforming technologies for Intelligent Transportation Systems today. In particular, wireless mesh network is widely used for VANETs due to its scalability, flexibility, and low maintenance cost. When a mesh node in such a network fails, one can simply replace it with a new mesh node, and the network automatically reconfigures itself. However, due to the environment or limited resources, it may not be feasible to replace a failed node immediately. We have witnessed over the last few years many disasters in the globe. One thing that all of those natural disasters have in common, besides the tremendous loss of life, is that they are immediately followed by an almost total loss of the ability to communicate with outside world. In the recent event of natural disaster in Japan, the communication network was still not fully recovery after weeks of the disaster. However, communication is the key to post-disaster survival. Therefore, it is important to have an alternate communication during time of disaster. In this paper, we introduce two techniques, virtual router approach and virtual link approach, for designing failure-resilient VANET’s that can retain almost their original coverage and capacity until the failed mesh nodes can be repaired or replaced, i.e., we are able to retain 80 % of original capacity with only 50 % working mesh nodes. We give simulation results, validated by analytical analysis, to show that this desirable property can be achieved, using virtual routers and/or virtual links, with minimal overhead. These virtual frameworks also balance the workload among the mesh nodes even when the mesh clients are not uniformly distributed over the application terrain. This characteristic helps improve the overall end-to-end delay and communication throughput of the network.

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References

  1. Bai, F., Sadagopan, N., Krishnamachari, B., & Helmy, A. (2004). Modeling path duration distributions in manets and their impact on reactive routing protocols. IEEE Journal on Selected Areas in Communications, 22(7), 1357–1373.

    Article  Google Scholar 

  2. Biswas, S., & Morris, R. (2004). Opportunistic routing in multi-hop wireless networks. SIGCOMM Computer Communication Review, 34(1), 69–74.

    Article  Google Scholar 

  3. Brinkhoff, T. (2002). A framework for generating network-based moving objects. GeoInformatica, 6(2), 153–180.

    Article  Google Scholar 

  4. Cacciapuoti, S., Caleffi, M., & Paura, L. (2009). A theoretical model for opportunistic routing in ad hoc networks. In Proceedings of IEEE SASN ’09: The international workshop on scalable ad hoc and sensor networks, St. Petersburg (RU), October 11–12 2009.

  5. Caleffi, M., Ferraiuolo, G., & Paura, L. (2008). A reliability-based framework for multi-path routing analysis in mobile ad-hoc networks. International Journal of Communication Networks and Distributed Systems, 1(4-5-6), 507–523.

  6. Chandran, K., Raghunathan, S., Venkatesan, S., & Prakash, R. (2001). A feedback-based scheme for improving TCP performance in ad hoc wireless networks. IEEE Personal Communication, 8(1), 34–39.

    Article  Google Scholar 

  7. Chen, K., Xue, Y., & Nahrstedt, K. (2003). On setting TCP’s congestion window limit in mobile ad hoc networks. In Proceedings of IEEE ICC.

  8. Chen, X., Jones, H. M., & Jayalath, A. D. S. (2007). Congestion-aware routing protocol for mobile ad hoc networks. In Proceedings of IEEE conference on vehicular technology (pp. 21–25).

  9. Chen, Y. S., Lin, Y. W., & Pan, C. Y. (2011). DIR: Diagonal-intersection-based routing protocol for urban vehicular ad hoc networks. Telecommunication System, 46, 299–316.

    Article  Google Scholar 

  10. Corson, S., & Macker, J. (1999). Mobile ad hoc networking (MANET): Routing protocol performance issues and evaluation consideration. Internet Enginerring Task Force RFC 2501, January 1999.

  11. Fu, Z., Zerfos, P., Luo, H., Lu, S., Zhang, L., & Gerla, M. (2003). The impact of multihop wireless channel on TCP throughput and loss. In Proceedings of IEEE INFOCOM.

  12. Fubler, H., Hartenstein, H., Widmer, J., Mauve, M., & Effelsberg, W. (2004). Contention-based forwarding for street scenarios. Proceedings of the 1st international workshop on intelligent transportation (WIT), March 2004 (pp. 155–160). Hamburg, Germany.

  13. Ghafoor, K. Z., Bakar, K. A., Eenennaam, M. V., Khokhar, R. H., & Gonzalez, A. J. (2013). A fuzzy logic approach to beaconing for vehicular ad hoc networks. Telecommunication Systems, 52, 139–149.

    Article  Google Scholar 

  14. Ho, H., Ho, Y. H., & Hua, K. A. (2005). A connectionless approach to mobile ad hoc networks in streets environment. In IEEE intelligent vehicles symposium (IV) : Las Vegas, NV.

    Google Scholar 

  15. Ho, Y. H., Wu, Y. C., & Chen, M. C. (2010). PLASH: A platform for location aware service with human computation. IEEE Communication Magazine: Consumer Communications and Networking Series, December Issue.

    Google Scholar 

  16. Ho, Y. H., Ho, A. H., Hua, K. A., & Hamza-Lup, G. L. (2004). A connectionless approach to mobile ad hoc networks. Proceedings of ISCC 2004. Ninth International Symposium on Computers and Communications, 2004. (vol. 1, pp. 188–195) Alexandria, Egypt, 28 June-1 July 2004.

  17. Ho, Y. H., Ho, A. H., & Hua, K. A. (2008). Routing protocols for inter-vehicular networks: A comparative study in high-mobility and large obstacles environments. Computer Communications Journal, 31(12), 2767–2780.

    Article  Google Scholar 

  18. Holland, G., & Vaidya, N. H. (1999). Analysis of TCP performance over mobile ad hoc networks. In Proceedings of ACM MOBICOM.

  19. Johnson, D. B., & Maltz, D. A. (1996). The dynamic source routing protocol for mobile ad hoc network. In T. Imielinski & H. Korth (Eds.), Mobile computing (Chapter 5 (pp. 153–181). Norwell, MA: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  20. Kranakis, E., Singh, H., & Urrutia, J. (1999). Compass routing on geometric networks. In Proceedings 11th Canadian conf. computational geometry (pp. 51–54.). Vancouver, BC, August 1999.

  21. Kuhn, F., Wattenhofer, R., & Zollinger, A. (2002) Asymptotically optimal geometric mobile ad hoc routing. In Proceedings of 6th international workshop on discrete algorithms and methods for mobile computing and communications (DIAL-M) (pp. 24–33).

  22. Kuhn, F., Wattenhofer, R., & Zollinger, A. (2003). Worst-case optimal and average-case efficient geometric ad hoc routing. In Proceedings of ACM MobiHoc.

  23. Le, A., Kum, D., & Cho, Y. (2009). An efficient hybrid routing approach for hybrid wireless mesh networks. In Proceedings of the 3rd international conference and workshops on advances in information security and assurance. Seoul, Korea, June 25–27, 2009.

  24. Liu, J., & Singh, S. (2001). ATCP: TCP for mobile ad hoc networks. IEEE Journal on Selected Areas in Communications, 19, 1300–1315.

    Article  Google Scholar 

  25. Map’n Track Friends (MF)- https://play.google.com/store/apps/details?id=tw.edu.sinica.iis.ants&feature=search_result#?=W251bGwsMSwyLDEsInR3LmVkdS5zaW5pY2EuaWlzLmFudHMiXQ

  26. Ming, G., Wu, Y., Li, K., & Al-Dubai, A. Y. (2010). Preformance modeling and optimization of integrated wireless LANs and mult-hop mesh networks. International Journal Commmunication System, 23(9–10), 1111–1126.

    Google Scholar 

  27. Mir, S., Pirzada, A. A., & Portmann, M. (2008). HOVER: Hybrid on-demand distance vector routing for wireless mesh networks. In Proceedings of the31st Australasian conference on computer science (Vol. 74). Wollongong, January 01–01, 2008.

  28. Monks, J. P., Sinha, P., & Bharghavan, V. (2000). Limitations of TCP-ELFN for ad hoc networks. In Proceedings of MOMUC.

  29. Perkins, C.E., & Royer, E. M. (1999). Ad hoc on demand distance vector (AODV) routing. Second IEEE workshop on mobile computer systems and application (pp. 90).

  30. Naumov, V., & Gross, T. (2007) Connectivity-aware routing (CAR) in vehicular ad hoc networks. In IEEE international conference on computer communications (INFOCOM) (pp. 1919–1927). Anchorage, AK, May 2007.

  31. Perkins, C. E., Bhagwat, P. (1994) Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computer. In Proceedings of the ACM SIGCOMM (pp. 234–244), October 1994.

  32. Rezaei, S., Sengupta, R., Krishnan, H., & Guan, X. (2007). Reducing the communication required by dsrc-based vehicle safety systems. In IEEE intelligent transportation systems conference (ITSC) (pp. 361–366).

  33. Sayer, T. (2007). Critical analysis of sunshine skyway bridge. Proceeding of bridge engineering 2 conference. Bath, May 4th.

  34. Wang, F., & Zhang, Y. (2002). Improving TCP performance over mobile ad hoc networks with out-of-order detection and response. In Proceedings of ACM MobiHoc.

  35. Wu, J., & Li, H.-L. (2001). A dominating-set-based routing scheme in ad hoc wireless networks. Telecommunication System, 18(1–3), 13–36.

    Article  Google Scholar 

  36. Xu, K., Gerla, M., Qi, L., & Shu, Y. (2003). Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED. In Proceedings of ACM MobiCom.

  37. Zeadally, S., Hunt, R., Chen, Y.-S., Irwin, A., & Hassan, A. (2012). Vehicular ad hoc networks (VANETS): Status, results, and challenges. Telecommunication Systems, 50(4), 217–241.

    Article  Google Scholar 

  38. Zeng, X., Bagrodia, R., & Gerla, M.: GloMoSim: A library for parallel simulation of large-scale wireless network. In Proceedings of the 12th workshop on parallel and distributed simulation (pp. 154–161). Banff, AB, May 1998.

  39. Zhao, L., Al-Bubai, A. Y., & Min, G. (2011). An efficient neighbourhood load routing metric for wireless mesh network. Journal of Simulation Modelling Practice and Theory, 19, 1415–1426.

    Article  Google Scholar 

  40. Zubow, A., Kurth, M., & Redlich, J.-P. (2008). Considerations on forwarder selection for opportunistic protocols in wireless networks. In 14th European wireless conference (EW) (pp. 1–7), June 2008.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan Normal University, Wenshan District, Taipei, 116, Taiwan (R.O.C.)

    Yao Hua Ho

  2. Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan (R.O.C.)

    Ling-Jyh Chen

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  1. Yao Hua Ho
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Correspondence to Yao Hua Ho.

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Ho, Y.H., Chen, LJ. Enhancing robustness of vehicular networks using virtual frameworks. Telecommun Syst 58, 329–348 (2015). https://doi.org/10.1007/s11235-014-9880-9

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  • DOI: https://doi.org/10.1007/s11235-014-9880-9

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