Evaluation of Position Based Gossiping for VANETs in an Intersection Scenario

One major issue in vehicular ad-hoc networks (VANETs) is efficient information dissemination. Flooding is widely used in VANETs for this task, but it has severe drawbacks due to the high communication complexity. One class of algorithms to overcome these problems is gossiping, where each node forwards a message with a certain probability. The main challenge in gossiping is the proper determination of an efficient forwarding probability, capable to adapt to dynamic network structures especially in the case of VANETs. The development of such highly adaptive gossiping mechanisms is subject of current research. One recently proposed idea is to combine neighborhood information with position data of vehicles to derive an optimal gossip probability from this information. In this work such a gossip mechanism is extended and evaluated in an intersection area. The applicability of the proposed protocol and its advantage over the existing protocol is shown via simulation.