The extremely fast topology has created new requirements for the geographic routing protocol, which has been the most efficient solution for Vehicular Ad-hoc Networks (VANETs). The frequent disconnection of links makes the choice of the next routing node extremely difficult. Hence, an efficient routing algorithm needs to deliver the appropriate path to transfer the data packets with the most relevant quality of service (QoS). In this work, the weight-aware greedy perimeter stateless (WA-GPSR) routing protocol is presented. The enhanced GPSR protocol computes the reliable communication area and selects the next forwarding vehicle based on several routing criteria. The proposal has been evaluated and compared to Maxduration-Minangle GPSR (MM-GPSR) and traditional GPSR using strict metric analysis. Our experimental results using NS-2 and VanetMobiSim, have demonstrated that WA-GPSR has the ability to enhance network performance.

Over the last few decades, Vehicular Ad hoc Networks (VANETs) in which vehicles communicate with each other in a high dynamic topology and a high speed, have attracted considerable attention. In this type of application, routing needs to be carefully designed to handle rapid network changes and therefore geographic routing protocols have been implemented to resolve this issue. The Greedy Perimeter Stateless Routing (GPSR) protocol is one of the most promising location-based routing protocols for wireless networks. In this paper, we implement three geographical routing protocols defined as Maxduration-Minangle GPSR (MM-GPSR), Modified GPSR (MGPSR) and traditional GPSR with different approaches for node selection in VANET. We carry out an overall performance evaluation with different levels of traffics in an urban environment. The tool-set of simulation integrates NS2, Intelligent Driver Model with Lane Change (IDM_LC) based on VANETMOBISIM. The paper provides insights the choice of a geographic protocol for Quality of Service (QoS) metrics and weight value that can improve robustness in VANET.