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Unicast Routing Protocol Based on Attractor Selection Model for Vehicular Ad-Hoc Networks

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Internet of Vehicles – Technologies and Services (IOV 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10036))

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Abstract

As an important member of IOV, vehicular Ad Hoc Networks (VANETs) play a key role for many vehicular applications, which significantly rely on the vehicular routing. However, the frequently changed topology leads to great challenge to the routing protocol. In this work, inspired by the mechanism of cellular adaptive responses in a changing environment, called cellular attractor selection, we propose a novel bio-inspired unicast routing protocol, which can adapt vehicular message forwarding to the changing topology to guarantee the routing efficiency and reliability. The experimental results exhibit the robustness and effectiveness of the proposed method and the significantly improved performance over the conventional routing protocol.

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References

  1. Song, J., Hsu, C.-H., Dong, M., Zhang, D.: Vehicle cardinality estimation in VANETs by using RFID tag estimator. In: Hsu, C.-H., Xia, F., Liu, X., Wang, S. (eds.) IOV 2015. LNCS, vol. 9502, pp. 3–15. Springer, Heidelberg (2015). doi:10.1007/978-3-319-27293-1_1

    Chapter  Google Scholar 

  2. Gao, Z., Chen, K., Zheng, J., Hao, Y., Yang, Y., Qiu, X.: Crossroads optimal geographic routing for vehicular ad hoc networks in City Scenario. In: Hsu, R.C.-H., Wang, S. (eds.) IOV 2014. LNCS, vol. 8662, pp. 201–210. Springer, Heidelberg (2014). doi:10.1007/978-3-319-11167-4_20

    Google Scholar 

  3. Tian, D., Zhou, J., Wang, Y., Sheng, Z., Xia, H., Yi, Z.: Modeling chain collisions in vehicular networks with variable penetration rates. Transp. Res. Part C Emerg. Technol. 69, 36–59 (2016)

    Article  Google Scholar 

  4. Johnson, D.B.: The dynamic source routing protocol for mobile ad hoc networks. draft-ietf-manet-dsr-09.txt (1998)

    Google Scholar 

  5. Perkins, C., Belding-Royer, E., Das, S.: Ad hoc On-Demand Distance Vector (AODV) Routing. RFC Editor (2000)

    Google Scholar 

  6. Karp, B., Kung, H.T.: Gpsr: greedy perimeter stateless routing for wireless networks (2010)

    Google Scholar 

  7. Broch, J., Maltz, D.A., Johnson, D.B., Hu, Y.C., Jetcheva, J.: A performance comparison of multi-hop wireless ad hoc network routing protocols. In: ACM/IEEE International Conference on Mobile Computing and Networking, vol. 85–97, pp. 85–97. ACM (2001)

    Google Scholar 

  8. Dao-Quan, L.I., Liu, H.Y., Cao, Q.G.: New routing algorithm based on geographical location: GPSR-AD. J. Comput. Appl. 29(12), 3215–3217 (2009)

    Google Scholar 

  9. Kashiwagi, A., Urabe, I., Kaneko, K., Yomo, T.: Adaptive response of a gene network to environmental changes by fitness-induced attractor selection. Plos One 1(1), e49 (2006)

    Article  Google Scholar 

  10. Tian, D., Zhou, J., Wang, Y., Zhang, G., Xia, H.: An adaptive vehicular epidemic routing method based on attractor selection model. Ad Hoc Netw. 36(P2), 465–481 (2016)

    Article  Google Scholar 

  11. Tian, D., Zhou, J., Wang, Y., Lu, Y.: A dynamic and self-adaptive network selection method for multimode communications in heterogeneous vehicular telematics. IEEE Trans. Intell. Transp. Syst. 16(6), 3033–3049 (2015)

    Article  Google Scholar 

  12. Tian, D., Zhou, J., Sheng, Z., Wang, Y., Ma, J.: From cellular attractor selection to adaptive signal control for traffic networks. Sci. Rep. 6, 1–15 (2016)

    Article  Google Scholar 

  13. Tian, D., Zhou, J., Wang, Y., Xia, H., Yi, Z., Liu, H.: Optimal epidemic broadcasting for vehicular ad hoc networks. Int. J. Commun. Syst. 27(9), 1220–1242 (2014)

    Article  Google Scholar 

  14. Motoyoshi, G., Leibnitz, K., Murata, M.: Proposal and evaluation of a future mobile network management mechanism with attractor selection. Eurasip J. Wirel. Commun. Netw. 2012(1), 1–13 (2012)

    Article  Google Scholar 

  15. Leibnitz, K., Murata, M.: Attractor selection and perturbation for robust networks in fluctuating environments. IEEE Netw. 24(3), 14–18 (2010)

    Article  Google Scholar 

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Acknowledgments

This research is supported by the National Natural Science Foundation of China under Grant nos. U1564212, 61672082, and Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies.

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Correspondence to Daxin Tian .

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Tian, D., Zheng, K., Zhou, J., Sheng, Z., Ni, Q., Wang, Y. (2016). Unicast Routing Protocol Based on Attractor Selection Model for Vehicular Ad-Hoc Networks. In: Hsu, CH., Wang, S., Zhou, A., Shawkat, A. (eds) Internet of Vehicles – Technologies and Services. IOV 2016. Lecture Notes in Computer Science(), vol 10036. Springer, Cham. https://doi.org/10.1007/978-3-319-51969-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-51969-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51968-5

  • Online ISBN: 978-3-319-51969-2

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