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Performance analysis of collision avoidance routing protocol for inter-vehicular communication

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Abstract

In recent days vehicular ad-hoc networks find its extensive applications by broadcast transmissions. Vehicle to vehicle communication provide better results by avoiding the major problems in the road such as the collision of vehicles, better route selection during congestion, fuel consumption etc. In this paper we present a collision avoidance based protocol. The collision of transmitting data can be avoided using medium access control (MAC) protocol. We have assessed and analyzed the performance of the proposed routing protocol Vehicular Ad-hoc on-demand Distance Vector (VAODV), which is a modification of Ad-hoc On-demand Distance Vector (AODV) routing protocol. We have analysed the performance of the proposed VAODV protocol through simulation results and latter extended for OSPF ensuring high reliability.

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References

  1. WHO Media centre: Road Traffic Injuries,”Fact sheet \(\text{N}^{\circ }358\) (2013). http://www.who.int/mediacentre/factsheets/fs358/en/

  2. Xu, Q., Sengupta, R., Mak, T., Ko, J.: Vehicle-to-vehicle safety messaging in DSRC. In: Proceedings of the 1st ACM International Workshop on Vehicular Ad-hoc Networks, pp. 19–28, (2004)

  3. Priya, K., Malhotra, J.: On the selection of mobility optimised Routing Protocol for city scenario using multi Interface Car in VANETs. In: Proceedings of the IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), Accessed 21–24 Sept 2016

  4. Campolo, C., Molinaro, A., Scopingo, R.: Vehicular Ad-hoc Networks—Standards, Solutions and Research. Springer, New York (2015)

    Book  Google Scholar 

  5. Chen, W.: Vehicular Communications and Networks—Architectures, Protocols, Operation and Deployment. Elsevier, New York (2015)

    Google Scholar 

  6. Karagiannis, G., Altinta, O., Ekic, E., Heijenk, G., Jarupan, B., Lin, K., Weil, T.: Vehicular networking: A survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun. Surveys Tuts. 13(4), 584–616 (2011)

    Article  Google Scholar 

  7. Joerer, S., Bastian, B., Christoph, S.: A vehicular networking perspective on estimating vehicle collision probability at intersections. IEEE Trans. Veh. Technol. 63(4), 1802–1812 (2014)

    Article  Google Scholar 

  8. Liu, J., Yang, Z., Stojmenovic, I.: Receiver consensus: on-time warning delivery for vehicular Ad-Hoc Networks. IEEE Trans. Emerg. Topics Comput. 1(1), 57–68 (2013)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Omar, H.A., Zhuang, W., Abdrabou, A., Li, L.: Performance evaluation of VeMAC supporting safety applications in vehicular networks. IEEE Trans. Veh. Technol. 1(1), 69–83 (2013)

    Google Scholar 

  11. Swati B. Raut, Dr. Malik, L.G.:“Survey on Vehicle Collision Prediction in VANET,” IEEE International Conference on Computational Intelligence and Computing Research, 978-1-4799-3975-6/14, (2014)

  12. Roy, D., Das, P.: Collision avoidance protocol for inter vehicular communication. Int. J. Comput. Appl. Technol. Res. 4(10), 767–776 (2015)

    Google Scholar 

  13. Sathianadhan, N., Gangadharan, S.S., Narayanan, G.: A delay-based optimum routing protocol scheme for collision avoidance applications in VANETs, CCECE, (2014)

  14. Kizilrmak, R.C., Torkamani-Azar, M.: Reducing collision probability with multihop diversity for Vehicle-to-Roadside Networks, In: Proceedings of the 2013 IEEE Symposium on Wireless Technology and Applications, (2013)

  15. Rakhshan, A., Pishro-Nik, H., Fisher, D.L., Nekoui, M.: Tuning collision warning algorithms to individual drivers for design of active safety systems. In: Proceedings of the IEEE Globecom Workshop (GC Wkshps), pp. 1333–1337, (2013)

  16. Wang, Z., Liu, L., Zhou, M., Ansari, N.: A position based clustering technique for Ad hoc inter vehicle communication. IEEE Trans. Syst. Man Cyber. 38(2), 201–208 (2008)

    Article  Google Scholar 

  17. Hartenstein, H., Laberteau, K.P.: VANET: Vehicular Applications and Inter- Networking Technologies. Wiley, Chichester (2010)

    Book  Google Scholar 

  18. Cao, L., Xu, W., Lin, W., Lin, J.: A CSMA/TDMA dynamic splitting scheme for MAC protocol in VANETs. In: Proceedings of the 2013 International Conference on IEEE, (2013)

  19. Kanu, P.K.: A noval approach to enhance the performance of VANET by reducing delay in collision warning system. Int. J. Comput. Sci. Mob. Comput. 3(3), 787–794 (2014)

    Google Scholar 

  20. Ledy, J., Boeglen, H., Benoit, Hilt, B.: An enhanced AODV protocol for VANETs with realistic radio propagation model validation. In: Proceedings of the 2009 International Conference on IEEE, (2009)

  21. Amit, Joshi, Priyanka, Sirola, Kamlesh C. Purohit: “Comparative Study of Enhanced AODV Routing Protocols in VANET”, International Journal of Computer Applications (0975-8887) 96(18), (June 2014)

  22. Bhat, V.S., Shah, P.N.: Performance comparison of Ad-hoc VANET routing algorithms. IJCEM Int. J. Comput. Eng. Manag. 15, 13–19 (2012)

    Google Scholar 

  23. Song, J.H., Wong, V.W.S., Leung, V.C.M.: Efficient on-demand routing for mobile ad hoc wireless access networks. IEEE J. Sel. Areas Commun. 22(7), 1374–1383 (2004)

    Article  Google Scholar 

  24. Bravo-Torres, J.F., López-Nores, M.: Optimizing reactive routing over virtual nodes in VANETs. IEEE Trans. Veh. Technol. 65(4), 2274–2294 (2016)

    Article  Google Scholar 

  25. Green, M.: How long does it take to stop? Methodological analysis of driver perception-brake times. Transp. Human Fact. 2(3), 195–216 (2000)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826 004, India

    Jaisingh Thangaraj, Banoth Ravi & Sunaina Kumari

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  1. Jaisingh Thangaraj
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  2. Banoth Ravi
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  3. Sunaina Kumari
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Correspondence to Jaisingh Thangaraj.

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Thangaraj, J., Ravi, B. & Kumari, S. Performance analysis of collision avoidance routing protocol for inter-vehicular communication. Cluster Comput 22 (Suppl 4), 7769–7775 (2019). https://doi.org/10.1007/s10586-017-1381-7

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  • DOI: https://doi.org/10.1007/s10586-017-1381-7

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