Research On Multi - Triangular Network Multicast Communication Model Based On WAVE

In recent years, with the sustained and rapid development of the global economy, the number of vehicles rise sharply, however, the incidence of traffic accidents also increases at the same time. According to statistics, more than half of traffic accidents occur on the highway. Compared with driving on other roads, vehicles driving on the highway have faster speed and greater momentum. When the accident occurred, the impact force of vehicles are also stronger and usually lead to secondary chain reactions. In addition, the environment, roads, drivers and other factors are also the causes of frequent accidents on the highway. The accidents on the highway can lead to very serious road congestion, traffic capacity and traffic delays, but also cause heavy casualties and serious property damage. Therefore, how to avoid traffic accidents effectively becomes the focus of domestic and international of intelligent transportation field.As an application of Internet of Things in intelligent transportation field, vehicle networking is an important component of intelligent transportation system. Firstly, WAVE protocol stack and WAVE multicast communication protocols is analyzed in this paper. On the basis of the analysis, vehicle networking communication systems on highway is researched. Secondly, vehicles on the highway have characteristics of high mobility, uncertainty, larger densities and network issues of the frequent disconnection, reconnection of the communication link. This paper design a highway vehicle networking system. On the basis of the system, a kind of model of vehicle networking WAVE based on a multi-triangle communication network proposed. It can be used in communications between OBU and other OBUs under WIBSS mode. Then the communication model uses the Delaunay triangulation to achieve dynamic grouping of high-speed vehicles on the highway. Based on the link connection and communication model which can ensure fast and stable communication vehicle, multitriangular multicast communication is achieved. Finally, this model has been simulated in Repast J and the testing result shows that the model can save constructing network time, ensure timely connection of dynamic nodes, avoid the frequent disconnect and reconnect of the network and maintain data transmission in real time, so it is available to use on the communication among vehicles on the highway. The proposed algorithm of this paper can meet the requirement of US vehicle networking communication technology standard. Networking time significantly faster than HD algorithm and ZACA algorithms, especially in the case of less vehicles on highway.