Decision at the intersection for data delivery in urban vehicular ad hoc networks

Increasing generated data volume and the rare bandwidth resource make the data delivery through vehicle-to-vehicle (V2V) a preferred mode for vehicular networks. However, in the urban vehicular environment, the traffic density information collected by the densely deployed cameras along the road were not used efficiently on the design of the data delivery policy. In this paper, a strategy for the decision at the intersection is proposed to find a data delivery route with minimum delay in urban vehicular ad hoc networks. A conditional prediction on the delay performance is used in making a decision. Simulations are conducted to validate the performance of the proposed algorithm.