ANFIS Grey Wolf Optimized And Secured Path Selection Algorithm For VANET Applications

Vehicle ad hoc networks (VANETs) present a unique mix of challenges and opportunities for routing protocols because to the semi-organized organization of means of transportation that faces limits of road structure and laws, as well as obstructions that limit physical access in urban environments. The dependability and scalability of routing protocols in big metropolitan VANETs are actively being explored. Furthermore, ANFIS-GWO Optimization approaches are used to increase routing sustainability and availability in VANETs by clustering vehicles beside one other based on connection locations and relative velocity, resulting in the widespread building of hierarchical network topologies. The transmission range demonstrates that the ANFIS-GWO (Adaptive Neuro-Fuzzy Inference System- Grey Wolf Optimization) is significantly more efficient than the ANFIS and GWO. End to End delay, Energy Consumption, Packet Loss and Throughput evaluation is contrasted with conventional approaches like FUZZY, ANN and ANFIS GWO Respectively. Throughput evaluation is contrasted with conventional approach ANFIS GWO is 650kbps.