Optimizing Data Transmission in VANET using Fuzzy Logic System with Link Residual Time

Vehicular communication plays a vital role in Intelligent Transport System (ITS). Vehicular Ad-Hoc Network (VANET) has no fixed infrastructure because the vehicles are moving randomly. Selection of the next hop node is difficult due to the dynamic topology of VANET. This paper presents the optimized next hop node selection using the fuzzy logic system. Speed, Distance and Link Residual Time (LRT) are used as a fuzzy logic input metrics to select the optimized next hop node in VANET. SUMO and Matlab tools are used to develop the Vehicular Ad-Hoc Network environment with the above in inputs. With that environement a complete analysis of packet delivery ratio and end-to-end delay is done, it is observed that it is efficient then the Greedy Perimeter Stateless Routing (GPSR).