Improved AODV Based on TOPSIS and Fuzzy Algorithms in Vehicular Ad-hoc Networks
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The ad-hoc on-demand distance vector (AODV) routing protocol is one of the most widely used routing protocols in VANETs. The AODV finds the shortest path that is not desirable in networks with high mobility. In addition, in the AODV, path request messages are broadcasted by the source and middle vehicles, which increases the routing overhead. However, in this paper, each vehicle selects the most reliable neighbors in order to send path request. This selection is based on the technique for order of preference by similarity to ideal solution algorithm. As a result, the destination vehicle receives the most reliable paths and uses the fuzzy algorithm to select the best route from the perspective of failure among all received routes. Simulation results show that the proposed method has lower end-to-end latency and higher throughput than the AODV.
KeywordsVehicular ad-hoc network (VANET) TOPSIS algorithm Fuzzy algorithm AODV
- 2.Ghori, M. R., Zamli, K. Z., Quosthoni, N., et al. (2018). Vehicular ad-hoc network (VANET). In IEEE international conference on innovative research and development (ICIRD) (pp. 1–6).Google Scholar
- 3.Kolluri, R. (2017). Reduction of routing overhead in vehicle-to-vehicle communication using clustering in vehicular ad hoc networks. Ph.D. thesis.Google Scholar
- 5.Jiang, D., & Delgrossi, L. (2008). IEEE 802.11 p: Towards an international standard for wireless access in vehicular environments. In International conference in vehicle technology (pp 2036–2040).Google Scholar
- 8.Dunning, G. J., Hsu, T. Y., Pepper, D. M., et al (2018). Inter vehicle communication system. https://patents.google.com/patent/US8307037B2/en. Redrived data August 10, 2018.
- 11.Samara, G., & Al-Raba’nah, Y. (2017). Security issues in vehicular Ad Hoc networks (VANET): A survey. arXiv preprint arXiv:1712.04263.
- 13.Perkins, C., Belding-Royer, E., Das, S. (2003). RFC3561: Ad hoc on-demand distance vector (AODV) routing, Network Working Group, July 2003. Google Scholar
- 14.Yoon, K., & Hwang, C. L. (1981). TOPSIS (technique for order preference by similarity to ideal solution)—A multiple attribute decision making, w: Multiple attribute decision making–methods and applications, a state-of-the-at survey. Berlin: Springer.Google Scholar
- 17.Lenders, V., Wagner, J., May, M. (2006). Analyzing the Impact of Mobility in Ad Hoc Networks. In 2nd Int. workshop on Multi-hop ad hoc networks (pp. 39–46). Florence, Italy, May 26–26, 2006.Google Scholar
- 18.Mullen, J., & Huang, H. (2005). Impact of multipath fading in wireless ad hoc networks. In 2nd ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks (pp. 181–188).Google Scholar
- 19.Aoki, M., Saito, M., Aida, H., & Tokuda, H. (2003). ANARCH: A name resolution scheme for mobile ad hoc networks. In International Conference on advanced information networking and applications.Google Scholar
- 20.Djenouri, D., & Badache, N. (2003). An energy efficient routing protocol for mobile ad hoc network. In The 2nd proceeding of the Mediterranean workshop on ad-hoc networks. Google Scholar
- 21.Perkins, C. E., Bhagwat, P. (1994). Highly Dynamic Destination Sequenced Distance-Vector Routing (DSDV) for mobile computers. Proceedings of the conference on communications architectures, protocols and applications (pp. 234–244). London, United Kingdom, August 31–September 02 1994.Google Scholar
- 22.Clausen, T., Jacquet, P. (2003). RFC 3626: Optimized link state routing protocol (OLSR), Network Working Group, October 2003.Google Scholar
- 26.Korkmaz, T., & Krunz, M. (2001) Multi-constrained optimal path selection. INFOCOM (pp. 834–843).Google Scholar
- 28.NS2 Software (2018). https://github.com/hbatmit/ns2.35, Redrived data August 10, 2018.
- 29.Krajzewicz, D., Erdmann, J., Behrisch, M., et al. (2012). Recent development and applications of SUMO—Simulation of urban mobility. International Journal on Advances in Systems and Measurements,5, 128–138.Google Scholar