Abstract: Aiming at the problem of high carbon footprint and deployment cost for roadside units in vehicular adhoc networks, we proposed a data and energy collaboration routing algorithm in the vehicular adhoc network, which maximized the network life cycle through energy collaboration between roadside units and energy transmission between roadside units and downstream vehicles. The roadside unit nodes could collect energy from the nature and vehicles , and transmitted a portion of energies obtained by roadside unit nodes to the neighboring roadside unit nodes through energy collaboration. By analysing the data rate, transmission power and energy transmission, we solved the problem of maximum network life cycle in the conservation law of energy and data routing. We determinied the necessary conditions for the joint optimization strategy of energy and data routing, and updated the data flow, energy flow and power control based on distributed LagrangeNewton iterative algorithm, so that the algorithm could converge to the optimal operation point more quickly. The experimental results show that energy cooperation framework in vehicular adhoc networks can effectively improve the network life cycle.

Key words: roadside unit, energy collection, data and energy routing collaboration, life cycle, vehicular adhoc network