Routing an Electric Vehicle for Optimum Energy Consumption with EE-MAODV Using NS3

Abstract

Now a days, electric vehicles will turn into a famous method of travel when increment. of oil costs and intensifies global warming. Power is less expensive than the petroleum products and can be created utilizing characteristic sustainable assets for. example, solar| or wind power, and consequently restricts contamination. Electric vehicles are more productive and expend less vitality than fuel vehicles. The improvement of e/ectric vehicle turns out to be more since progression in battery innovation and engine productivity. Energym Management is the key factor in EV or hybrid Electric vehicles (HEV) plan. The main challenge in the EV is the charging time required for the batteries and deficiency of charging stations (cs). By thinking about the issue of shortest path and1 energy utilization, this1 Paper incorporates1 the execution examination of AODV (adhoc On-demand distance1 Vector) directing1 convention with1 the improved1 EE-MAODV (energy efficient Modified AODV) for QOS (quality of service) metrics1 in route finding1 and maintenance with energy utilization and Route enhancement utilizing network simulator3. This paper especially1 centered around1 usage and examination1of execution parameters for1 example, average1 end-end delay, Packet1 Delivery Ratio (PDR), directing1 overhead and energym consumption. The proposed strategy is compared with the basic AODV for tracking system so that the implement controller has the attributes of high modularity and probability.