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Improving the Route Selection for Geographic Routing Using Fuzzy-Logic in VANET

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Intelligent Computing & Optimization (ICO 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 371))

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Abstract

The ability to design a routing protocol capable of constructing adaptive and efficient channels for delivering data packets is an important factor in the successful evolution of VANET networks. Because they contain a GPS unit, most VANETs use position-based routing protocols. Greedy Perimeter Stateless Routing (GPSR), which has been widely implemented, is one solution to VANET’s difficulties. The FL-NS GPSR routing protocol is proposed in this study as an effective intelligent fuzzy logic control system. To detect the appropriate next-hop node for packet forwarding, the proposed routing protocol integrates two metrics: neighbor node and vehicle speed. It also alters the format of the hello message by adding the direction field. The OMNeT++ and SUMO simulation tools are used in parallel to examine the VANET environment. The obtained results are made in an urban environment indicate substantial improvements in the network performance compared to the traditional GPSR concerning the QoS parameters.

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Aljabry, I.A., Al-Suhail, G.A. (2022). Improving the Route Selection for Geographic Routing Using Fuzzy-Logic in VANET. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_91

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