A Novel Cost-Effective Controller Placement Scheme for Software-Defined Vehicular Networks

Energy costs have dramatically increased in data center networks as an increasing number of large-scale Internet applications are used. In software-defined vehicular (SDVN), the communication delay between two vehicles and controller will climb up increases. This requires more controllers to provide service minimize latency. More lead high energy costs. Therefore, their placement, so-called placement problem (CPP), should be addressed. The appropriate can decrease cost, enabling green SDVN. Although CPP has been studied for static networks, it not effectively solved highly dynamic complex networks. this article, a novel cost-effective scheme SDVN is proposed. First, our proposed minimum selection mechanism (MOSA) reduce guarantee coverage area. Besides, improved multiobjective artificial bee colony algorithm (IMABC) based on original algorithm. IMABC judge which switched transmission real-time traffic flow. A route computation evaluate performance scheme. experimental results confirm that compared other existing schemes, achieve higher packet delivery ratio while greatly reducing consumption