Experimental Demonstration for Energy Aware Optimization with Effective Neighbor and Link Selection in Vehicular Adhoc Networks

Commonly Vehicular Ad-hoc Network (VANET) technology is a highly active and huge mobility based network which needs a proper route settings, neighbor settings and stable link to transmit the data. Because vehicles in VANETs consist of huge mobility which is unpredictable that's leads to affect the network performance with the increase of delay and high energy consumption. To overcome such flaws in this network Energy Aware Optimization is proposed which concentrates on certain segments like network model, energy model, neighbor selection and link duration. Through the network and energy model the input energy allocations are clearly analyzed and the essential resources are properly assigned to the vehicles. Through neighbor selection process the residual area and border area of the vehicles are calculated and according to that the neighbors are assigned to the current vehicles. Finally the link duration process is mainly employed to increase the lifetime of the vehicles. The experimentation of the proposed work is done in NS2 and the parameters which are considered for the analysis are packet delivery ratio, end-to-end delay, routing overhead, and throughput whereas the baseline methods which are used for the comparative analysis are HACCS and RAPSO. From the comparison it is shown that the proposed method achieves high delivery ratio and throughput compared with the earlier methods and that leads to increase the network efficiency and lifetime.