Analysis of Conditional Connectivity Based on Two Lanes for VANETs

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

Abstract

Conditional connectivity is important for the design of the upper layer communication protocol and the network deployment in different scenarios. This paper analyzes the performance of conditional connectivity with the network topology change by establishing the model of inter-vehicle communication. The paper aims at the two-lane highway scenario for vehicular ad hoc networks (VANETs), considering the factors of communication range, vehicle flow characteristics and moving speed. The main conditional connectivity performance index is the conditional connectivity probability. Based on the simulation, the correctness of the theoretical analysis is verified. We also make an explanation of the simulation results.

Keywords

VANETs Conditional connectivity performance Two lanes User level 

Notes

Acknowledgments

This work was supported by the New Century Excellent Talent Support Program (NCET-13-0657), 863 Program (2015AA016005) and the State Key Laboratory of Rail Traffic Control and Safety (RCS2016ZT015).

References

  1. 1.
    Hafeez, K.A., Zhao, L., Ma, B., Mark, J.W.: Performance analysis and enhancement of the DSRC for VANET’s safety applications. IEEE Trans. Veh. Technol. 62(7), 3069–3083 (2013)CrossRefGoogle Scholar
  2. 2.
    Sharif-Nassab, A., Ashtiani, F.: Connectivity analysis of one-dimensional ad hoc networks with arbitrary spatial distribution for variable and fixed number of nodes. IEEE Trans. Mob. Comput. 11(10), 1425–1435 (2012)CrossRefGoogle Scholar
  3. 3.
    Wang, B.X., Yin, K., Zhang, Y.: An exact markov process for multihop connectivity via intervehicle communication on parallel roads. IEEE Trans. Wirel. Commun. 11(3), 865–868 (2011)CrossRefGoogle Scholar
  4. 4.
    Abuelenin, S.M., Abul-Magd, A.Y.: Effect of minimum headway distance on connectivity of VANETs. AEU Int. J. Electron. Commun. 69(5), 867–871 (2015)CrossRefGoogle Scholar
  5. 5.
    Yan, Z., Jiang, H., Shen, Z., Chang, Y.: k-connectivity analysis of one-dimensional linear VANETs. IEEE Trans. Veh. Technol. 61(1), 426–433 (2012)CrossRefGoogle Scholar
  6. 6.
    Shioda, S., Harada, J., Watanabe, Y., Goi, T., Okada, H., Mase, K.: Fundamental characteristics of connectivity in vehicular ad hoc networks. In: IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–6, September 2008Google Scholar
  7. 7.
    Hafeez, K.A., Zhao, L., Liao, Z., Ma, N.W.: Impact of mobility on VANETs’ safety applications. In: Global Telecommunications Conference, pp. 1–5 (2010)Google Scholar
  8. 8.
    Yousefi, S., Altman, E., El-Azouzi, R., Fathy, M.: Analytical model for connectivity in vehicular ad hoc networks. IEEE Trans. Veh. Technol. 57(6), 3341–3356 (2008)CrossRefGoogle Scholar
  9. 9.
    Chen, R., Zhong, Z., Chang, C.Y., Ai, B., He, R.: Performance analysis on network connectivity for vehicular ad hoc networks. Int. J. Ad Hoc Ubiquit. Comput. 20(2), 67–77 (2015)CrossRefGoogle Scholar
  10. 10.
    Gradshteyn, I.S., Ryzhik, I.M.: Table of Integrals, Series, and Products, 7th edn. Academic Press, London (2007)MATHGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina
  3. 3.Beijing Key Laboratory of Intelligent Traffic Data Safety and Privacy Protection TechnologyBeijing Jiaotong UniversityBeijingChina
  4. 4.Beijing Engineering Research Center of High-Speed Railway Broadband Mobile CommunicationsBeijing Jiaotong UniversityBeijingChina

Personalised recommendations