An Energy Efficient Cooperation Relay Scheduling Scheme in Multi-hop Cognitive Vehicular Networks
In cognitive vehicular networks, cooperation transmission has many advantages to access licensed spectrum under interference constraints, by exploring space diversity of vehicles. And in the urban city, there are many candidate vehicles can be a cooperation relay especially when traffic congestion. Recently many papers concern about cognitive multi-hop network, but most of them only analyzed the performance like outage probability, capacity and so on, which ignored the performance of energy efficiency. Moreover, the selection of cooperation relay closely related with the performance, and in vehicular environment it must consider the geographic distribution of vehicles. So, in this paper we analyze the performance of multi-hop cognitive vehicular networks with considering the vehicle distribution, then we optimize the energy-efficient problem and propose the cooperation relay scheduling scheme (CRSS) to improve the energy efficiency. Simulation results show that, by using CRSS the performance of energy efficiency and outage probability in multi-hop cognitive vehicular have been improved.