A Vehicular Opportunity Routing Protocol with Area Learning: Voal

Abstract

The mobility of nodes in a vehicular ad hoc network brings about the instability of network topology, which is not beneficial for effective and rapid information transmission. This study proposed a vehicular opportunity routing protocol with area learning (VOAL). Specifically, beacon control was adopted for alleviating the information transmission pressure caused by channel congestion. The statistics of network environment and topology distribution were acquired through beacon exchange, and the hot area was derived based on real-time network information for better information transmission. Finally, the simulations were performed using an open-source simulator opportunistic network environment for comparing VOAL with some classical routing algorithms. The simulation results revealed that VOAL showed enhanced performance.