Research On Incentive Mechanism For Vehicular Ad Hoc Networks

Vehicular ad hoc network that vehicle as the basic information unit, through the real-time information interaction between car and roadside facilities or vehicles and vehicles to ensure the safety of the vehicle, to avoid road congestion and improve travel comfort. The vehicle nodes are moving at a high speed in the highway or city, whether it is the communication among the vehicles(V2V), or between vehicles and roadside unites(V2I), their communication is used with DSRC technology, then both the based safety applications and based service applications. They need to rely on mutual cooperation between the various nodes to transmit data information. However, the vehicle nodes in vehicular networks do not belong to the same user or organization, but belong to private different users or different organizations. So, the vehicle will show selfish out of subjective factor, reject receiving or forwarding data packets, in order to save their own resource overhead. If a lot of selfish nodes appear in the vehicular ad hoc network, the network will have a large number of packets which can not arrive at the destination, the resulting performance is greatly influenced. In order to solve the problem of vehicle cooperation between nodes. Based on the results in mobile ad hoc network incentive mechanism research, a method is presented for the vehicle network under the incentive mechanism. The content of the paper are as shown below.Firstly, the thesis proposes a method based on node active index incentive mechanism. It can determine whether a node is a selfish node, simplified the detection procedure of selfish nodes. At the same time, designed the selfish nodes penalty time algorithm which based on the network conflict detection back-off algorithm. The algorithm can calculate the penalty time through the historical behavior of nodes.Secondly, the thesis establishes throughput and delay model, analyzes performance, verifies the throughput ratio and ratio of delay time in the neighboring anchor nodes under incentive mechanism to prove the superiority of the scheme in this paper. It also introduces the whole process of simulation, including SUMO model and NS2 simulation platform.