
Abstract The technological development in the world has increased rapidly and touched various areas, especially communication technology, which evolves with the evolution of wireless technology. This technology has invaded several areas, including the transport sector which has benefited from a new technology allowing the communication between vehicles through a specific network called Vehicular Ad-Hoc NETwork (VANET). Hence, the purpose of this network is to maintain road safety and traffic efficiency as well as ensure driving assistance and internet services to vehicles. This objective is ensured through many sensors and a system of geolocation that allows the measurement of speed and distance between vehicles and also microcontrollers or even microprocessors. As a matter of fact, they are capable of processing the information from the sensors and thus allowing the vehicle to react to unexpected events. Despite this development, routing in VANETs has left mysterious points for researchers because of the high mobility of vehicles, which causes frequent changes in the topology. In this paper, we propose an enhanced version of GPSR that minimized transfer delays and control messages. We compare our proposal version to traditional GPSR using the network simulator (NS2).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
