Parameter Based Efficient & Reliable Routing Technique to Enhance Network Lifetime for Vehicular Ad Hoc Networks

  • Authors

    • Asha K S
    • Rajeshwari Hegde
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.15863
  • Vehicular Adhoc Networks, PBERR (Parameter based efficient reliable routing), Routing.

  • Some Inherent Vehicular Ad Hoc Networks (VANETs) characteristics such as intermittent connectivity, highly dynamic topology, and hard delay constraints, make data communication a challenging task in these networks. Due to such peculiarities, in this paper we study the impact of using vehicles predicted locations as a metric for data communication in VANETs. This paper deals with PBERR (Parameter Based Efficient Reliable Routing) for VANETs, which is a multilevel routing algorithm. The focus of this algorithm is 100% data transmission from end to end with no loss or drop of data packets by selecting the reliable path. The proposed algorithm will use the data of the digital maps to limit the scope of message exchanges in the shortest path for vehicles between source and destination. Our results clearly demonstrate the efï¬ciency of the proposed solution in different scenarios, especially in terms of Network throughput, Energy consumption and Average delay.

     

  • References

    1. [1] K.Prasanth et al, “Efficient Packet Forwarding Approach in Vehicular Ad Hoc Networks Using EBGR Algorithmâ€, International Journal of Computer Science Issues, Vol. 7, Issue 1, No. 3, January 2010

      [2] Marwane Ayaida et al,†A Movement-Prediction-based Joint Routing and Hierarchical Location Service for VANETsâ€, Ad-hoc and Sensor Networking Symposium, IEEE ICC 2013.

      [3] Elias C. Eze, Sijing Zhang and Enjie Liu, “Vehicular Ad Hoc Networks (VANETs): Current State, Challenges, potentials and Way Forwardâ€, 20th International Conference, Bedfordshire, UK, 12-13 September 2014.

      [4] Mohammad Reza Jabbarpour et.al, “The Comparative Analysis of Velocity and Density in VANET Using Prediction-Based Intelligent Routing Algorithmsâ€, 978-1-4799-2975-7, IEEE 2013.

      [5] Saleh Yousefi and Mahmood Fathy, “Vehicular Ad Hoc Networks (VANETs) challenges and perspectivesâ€, 6th International conference on ITS Telecommunications proceedings 2006.

      [6] Leandro N. Balico et al, “A Prediction-based Routing Algorithm for Vehicular Ad Hoc Networksâ€, 978-1-4673-7194-0, IEEE symposium 2015.

      [7] F. Li and Y. Wang, “Routing in vehicular ad hoc networks: A survey,†IEEE Vehicular Technology Magazine, vol. 2, no. 2, pp. 12–22, 2007.

      [8] A.Boukerche, H. A. B. F. Oliveira, E. F. Nakamura, and A. A. F. Loureiro, “Vehicular ad hoc networks: A new challenge for localizationbased systems,†Elsevier Computer Communications, vol. 31, no. 12, pp. 2838–2849, 2008.

      [9] P. Papadimitratos, A. De La Fortelle, K. Evenssen, R. Brignolo, and S. Cosenza, “Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation,†IEEE Communications Magazine, vol. 47, no. 11, pp. 84–95, 2009.

      [10] H. Hartenstein and K. Laberteaux, “A tutorial survey on vehicular ad hoc networks,†IEEE Communications Magazine, vol. 46, pp. 164–171, 2008.

      [11] H. Labiod, N. Ababneh, and M. Garc´ıa de la Fuente, “An efï¬cient scalable trajectory based forwarding scheme for vanets,†in Proceedings of the AINA’10, Perth, Australia, 2010.

      [12] B. Karp and H. T. Kung, “GPSR: greedy perimeter stateless routing for wireless networks,†in Proceedings of the MobiCom’00, Boston, MA, USA, 2000, pp. 243–254.

      [13] G. Liu, B.-S. Lee, B.-C. Seet, C. H. Foh, K. J. Wong, and K.-K. Lee, “A routing strategy for metropolis vehicular communications,†in Proceedings of the ICOIN’04, Busan, Korea, 2004, pp. 134–143.

      [14] D. Niculescu and B. Nath, “Trajectory based forwarding and its applications,†in Proceedings of the MobiCom’03, San Diego, CA, USA, 2003, pp. 260–272.

      [15] C. Maihofer, “A survey of geocast routing protocols,†IEEE Communications Surveys Tutorials, vol. 6, no. 2, pp. 32–42, 2004.

      [16] C. Barrios and Y. Motai, “Improving estimation of vehicle’s trajectory using the latest global positioning system with kalman ï¬ltering,†IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 12, 2011.

      [17] A.Gning and P. Bonnifait, “Guaranteed dynamic localization using constraints propagation techniques on real intervals,†in Proceedings of the ICRA’04, vol. 2, New Orleans, LA, USA, 2004.

      [18] Boukerche and S. Nikoletseas, “Wireless communications systems and networks.†Plenum Press, 2004, ch. Protocols for Data Propagation in Wireless Sensor Networks, pp. 23–51.

      [19] W. Hong and S. Madden, “Implementation and research issues in query processing for wireless sensor networks,†in Proceedings of the ICDE’04. Washington, DC, USA: IEEE, 2004, p. 876.

      [20] M. Mar´oti, B. Kusy, G. Simon, and ´A. L´edeczi, “The flooding time synchronization protocol,†in Proceedings of the SenSys’04. Baltimore, MD, USA: ACM, 2004, pp. 39–49.

      [21] Manjunatha K N, Vaibhav A Meshram, “Design and FPGA Implementation of Power Efficient Turbo Decoder for 4G LTE Standardsâ€, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 21 (2017) pp. 10921-10925.

      [22] Manjunatha K N, Kiran B, “Design and ASIC Implementation of a 3GPP LTE Advance Turbo Encoder and Turbo Decoderâ€, International Journal of Engineering Research and Applications (IJERA), Vol. 2, July-August 2012, Issue 4, pp 006-010.

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    K S, A., & Hegde, R. (2018). Parameter Based Efficient & Reliable Routing Technique to Enhance Network Lifetime for Vehicular Ad Hoc Networks. International Journal of Engineering & Technology, 7(3.12), 57-61. https://doi.org/10.14419/ijet.v7i3.12.15863