Skip to main content
Log in

Joint Routing and Spectrum Allocation for Multi-hop Inter-Vehicle Communication in Cognitive Radio Networks

  • Published:
International Journal of Intelligent Transportation Systems Research Aims and scope Submit manuscript

Abstract

In multi-hop inter-vehicle communications (MHIVC) for cognitive radio (CR), high mobility of vehicles causes the situation change of the primary user (PU) near the secondary user (SU) and changes a link distance in a short time. In this paper, in order to overcome these problems, we propose a joint routing and spectrum allocation utilizing the PU information (e.g., position, channel, and transmit power) and vehicle mobility information (e.g., position, direction, and speed) to predict the end-to-end delay time for sending required packets. By using PU information, we predict a period of SU’s available frequency according to SU’s mobility. By using SU’s mobility information, we predict the available transmission data rate of each frequency. The proposed joint routing and spectrum allocation is more likely to establish minimum delay time multi-hop paths for VANET. By using computer simulations, we confirm the effectiveness of the proposed method in terms of end-to-end delay time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  1. ITS Info-communications Forum: Experimental guideline for vehicle communications system using 700 MHz-Band ITS FORUM RC-006 Version1.0. Available at http://www.itsforum.gr.jp/Public/J7Database/p35/ITSFORUMRC006engV1_0.pdf

  2. Comments of intelligent transportation society of America. Available at http://www.itsa.org/images/FINAL%20ITS%20America%20Comments%205%20GHz%20NPRM.pdf

  3. Wadhwa, M., Xin, C., Song, M., Park, E.K.: Throughput analysis for a contention-based dynamic spectrum sharing model. IEEE Trans. Wirel. Commun. 1426–1433 (2010)

  4. Thoppian, M., Venkatesan, S., Prakash, R., Chandrasekaran, R.: MAC-Layer Scheduling in Multi-Hop Cognitive Radio Networks. Proceedings of World of Wireless, Mobile and Multimedia Networks (WoWMoM), NewYork (2006)

    Google Scholar 

  5. Xu, F., Fujii, T.: Frequency Sharing Scheduling with OFDMA for Road to Vehicle and Inter-Vehicle Communications. Proceedings of Multi-Carrier Systems & Solutions (MC-SS), Germany (2011)

    Book  Google Scholar 

  6. Hou, Y.T., Shi, Y., Sherali, H.D.: Spectrum sharing for multi-hop networking with cognitive radios. IEEE J. Sel. Areas Commun. 146–155 (2008)

  7. Taleb, T., Sakhaee, E., Jamalipour, A., Hashimoto, K., Kato, N., Nemoto, Y.: A stable routing protocol to support ITS services in VANET networks. IEEE Trans. Veh. Technol. 3337–3347 (2007)

  8. Hasan, M., Takahashi, S., Hakoda, J., Uehara, H., Yokoyama, M.: Route selection metrics in wireless mobile ad hoc networks. IEICE Trans. Fundam. 2952–2955 (2005)

  9. Su, W., Gerla, M.: Ipv6 Flow Handoff in Ad-Hoc Wireless Network Using Mobility Prediction. Proceeding of Global Communications Conference (GLOBECOM), Brazil (1999)

    Google Scholar 

  10. Sampath, A., Yang, L., Cao, L., Zheng, H., Zhao, B.Y.: High throughput spectrum-aware routing for cognitive radio networks. Proceedings of Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) (2008)

  11. Guan, Q., Yu, F., Jiang, S., Wei, G.: Prediction-based topology control and routing in cognitive radio mobile ad hoc networks. IEEE Trans. Veh. Technol. (2010)

  12. Huang, X., Wang, G., Hu, F., Kumar, S.: Stability-capacity-adaptive routing for high-mobility multihop cognitive radio networks. IEEE Trans. Veh. Technol. (2011)

  13. Perkins, C.:Ad hoc on-demand distance vector (AODV) routing. Available at http://www.ietf.org/rfc/rfc3561.txt.M. Morikura and S. Kubota, High speed wireless LAN text book. (Kaiteisanhan 802.11 kousokumusenLAN kyokasho), Impress R&D (2008)

  14. Treiber, M., Henneke, A. Helbing, D.: Congested traffic states in empirical observation and microscopic simulations. Proceedings of Physical Review E, pp. 1805–1824 (2000)

Download references

Acknowledgments

This work was performed in part under a R&D for Network Establishment utilizing Vehicle-to-Vehicle Communications from the Ministry of Internal Affairs and Communications (M IC) of Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tsubasa Suzuki.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Suzuki, T., Fujii, T. Joint Routing and Spectrum Allocation for Multi-hop Inter-Vehicle Communication in Cognitive Radio Networks. Int. J. ITS Res. 15, 39–49 (2017). https://doi.org/10.1007/s13177-015-0118-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13177-015-0118-3

Keywords

Navigation