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Fuzzy Logic-Based Multi-Hop Directional Location Routing in Vehicular Ad-hoc Network

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Abstract

A vehicular ad-hoc network (VANET) is an autonomous system of mobile vehicles created on-demand where vehicles can send or receive data packets over wireless links. In VANET, vehicles have limited communication range R and can communicate directly with neighbor vehicles. Vehicles are equipped with the short communication range dedicated communicative device, global positioning system and other computing devices. Links among vehicles break frequently due to the highly movable nature and limited communication range which turns into data delivery failure. To overcome data delivery failure in multi-hop routing, a novel routing model namely fuzzy logic-based multi-hop directional location routing (FLMDLR) in the vehicular ad-hoc networks has been developed. Using the concept of fuzzy logic, FLMDLR selects remarkable next-hops which help to establish a stable route from the source S to destination node D. Research work done in this paper has shown fuzzy logic applications are more useful to deliver data packets from node S to D. FLMDLR has simulated through network simulator-2 to evaluate performance in term of the link duration, next- hop distance, average number of next-hops, and one hop delay. Through simulated result has shown the proposed model FLMDLR perform better as compared to existing directional-location aided routing (D-LAR) and location aided routing (LAR) protocols.

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References

  1. Rana, K. K., Triparhi, S., & Raw, R. S. (2019). Opportunistic directional location aided routing protocol for vehicular ad-hoc network. Wireless Personal Communication International Journal, Springer, 108(392), 119–137.

    Google Scholar 

  2. Rana, K. K., Tripathi, S., & Raw, R. S. (2020). Link reliability-based multi-hop directional location routing in vehicular ad hoc network. Peer-to-Peer Networking and Applications, 13, 1656–1671. https://doi.org/10.1007/s12083-020-00927-0

    Article  Google Scholar 

  3. Shendurkar, A. M., & Chopde, N. R. (2014). A review of position based routing protocol in mobile ad-hoc networks. International Journal of Advanced Research in Computer Engineering & Technology, 3(6), 2047–2053.

    Google Scholar 

  4. Rana, K. K., Tripathi, S., & Raw, R. S. (2020). Inter-vehicle distance-based location aware multi-hop routing in vehicular ad-hoc network. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-01947-7

    Article  Google Scholar 

  5. Rossi, G. V., Leung, K. K., Gkelias, A. (2015). Density-based optimal transmission for throughput enhancement in vehicular ad-hoc networks communications. In: IEEE International conference on communications, pp 6571–6576.

  6. Wu, G., Li, Z., & Jiang, H. (2020). Quality of experience-driven resource allocation in vehicular cloud long-term evolution networks. Transactions on Emerging Telecommunications Technologies. https://doi.org/10.1002/ett.4036

    Article  Google Scholar 

  7. Dahmane, S., Lorenz, P. (2016). Weighted probabilistic next-hop forwarder decision-making in VANET environments. In: IEEE International Conference on Global Communication Conference, pp 1–6.

  8. Yang, S., Rongxi, H., Lin, S., Lin, B., Wang, Y. (2014). An improved geographical routing protocol and its OPNET-based simulation in VANETs. In: 7th IEEE International Conference on Bio Medical Engineering and Informatics, pp 913–917.

  9. Shelly, S., & Babu, A. V. (2015). Link reliability based greedy perimeter stateless routing for vehicular ad-hoc networks. International Journal of Vehicular Technology (pp. 1–16). Hindawi Publishing Corporation.

    Google Scholar 

  10. Rossi, G, V, Leung, K, K, Gkelias, A, (2015). Density-based optimal transmission for throughput enhancement in vehicular ad-hoc networks Communications. In: IEEE international conference on communication, pp 6571–6576.

  11. Li, H., & Xu, Z. (2018). Routing protocol in VANETs equipped with directional antennas: Topology-based neighbor discovery and routing analysis. International Journal Wireless Communications and Mobile Computing, 2018, 1–13. https://doi.org/10.1155/2018/7635143.

    Article  Google Scholar 

  12. Jayasree, G., Indulekha, K. P., Malarkodi, B. (2018). Directional antenna based efficient location aware routing in mobile ad-hoc network. International Journal on Communication Technology, 9(2), 1765–1775. https://doi.org/10.21917/ijct.2018.0258.

    Google Scholar 

  13. Menouar, H, Lenardi, M, Filali, F,(2007).Movement Prediction-Based Routing (MOPR) Concept for Position-Based Routing in Vehicular Networks. In: IEEE Conference on Vehicular Technology Conference, pp 556–561.

  14. Rana, K. K., Triparhi, S., & Rao, R. S. (2016). Fuzzy logic-based directional location routing in vehicular ad-hoc network. National Academic Science India Section A: Physical Science. https://doi.org/10.1007/s40010-019-00641-4

    Article  Google Scholar 

  15. Karp, B, Kung, H, T, (2000). GPSR: greedy perimeter stateless routing for wireless networks. In: MobiCom Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, ACM, pp. 243–254.

  16. RawDas, R. S. S., Singh, N., & Kumar, S. (2012). Feasibility evaluation of VANET using directional-location aided routing (D-LAR) protocol. International Journal of Computer Science, 9(5), 404–410.

    Google Scholar 

  17. Bachir, B., Ali, O., Ahmed, H., & Mohamed, E. (2014). Proactive schema based link lifetime estimation and connectivity ratio. Hindawi Publishing Corporation the Scientific World Journal, 2014, 1–6. https://doi.org/10.1155/2014/172014.

    Article  Google Scholar 

  18. Ko, Y. B., Vaidya, N. H. (1998). Location-aided routing (LAR) in mobile ad-hoc networks. In: ACM/IEEE, MOBICOM’98, pp 66–75.

  19. Ko, Y. B., & Vaidya, N. H. (2000). Location-aided routing (LAR) in mobile ad-hoc networks. Wireless Networks, 6, 307–321. https://doi.org/10.1023/A:1019106118419.

    Article  MATH  Google Scholar 

  20. Sivakumar, T. (2015). OPRM an efficient hybrid routing protocol for sparse VANETs. International Journal Computer Applications in Technology, 51(2), 97–104.

    Article  Google Scholar 

  21. Kumar, V., & Kumar, S. (2015). Position based beaconless routing in wireless sensor networks. Wireless Personal Communication. Springer Journal.

    Google Scholar 

  22. Kaleem, M., Hussain, S. A., Raza, I., Chaudhari, S. R., & Raza, M. H. (2014). A direction and relative speed (DARS) based routing protocol for VANETs in a highway scenario. Taylor Francis Journal of the Chinese Institute of Engineers, 38(3), 399–405.

    Article  Google Scholar 

  23. ChiOh, T. N. H. (2014). A link quality prediction metric for location based Routing protocols under shadowing and fading effects in vehicular ad-hoc networks. International Symposium on Emerging Inter-Networks, Communication and Mobility, 34, 565–570.

    Google Scholar 

  24. Raw, R. S., Lobiyal, D. K., Das, S., & Kumar, S. (2015). Analytical evaluation of directional-location aided routing protocol for VANETs. International Journal Wireless Personal Communication, 82(3), 1877–1891.

    Article  Google Scholar 

  25. Rana, K. K., Tripathi, S., & Raw, R. S. (2017). Analytical analysis of improved directional-location aided outing protocol for VANETs. Wireless Personal Communication, 98(2), 2403–2426.

    Article  Google Scholar 

  26. Shelly, S., & Babu, A. V. (2017). Link residual lifetime-based next-hop selection scheme for vehicular ad-hoc networks. EURASIP Journal on Wireless Communications and Networking, 2017, 23. https://doi.org/10.1186/s13638-017-0810-x.

    Article  Google Scholar 

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Correspondence to Kamlesh Kumar Rana.

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Rana, K.K., Sharma, V. & Tiwari, G. Fuzzy Logic-Based Multi-Hop Directional Location Routing in Vehicular Ad-hoc Network. Wireless Pers Commun 121, 831–855 (2021). https://doi.org/10.1007/s11277-021-08661-3

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