Cooperative Data Routing & Scheduling In Software Defined Vehicular Networks

Abstract

This paper presents the primordial study on cooperative scheduling of diverse vehicular communication channels for a better dissemination of data in multi-hop routing scenarios. The system adopts a software defined vehicular network (SDVN) architecture to realize a logically centralized authority and utilizes vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) channels of dedicated short range communication (DSRC), and infrastructure-to-infrastructure (I2I) interface cooperatively to maximize the delivery of data packets under delay tolerance and link connectivity regions. The problem is formulated as an integer linear programming (ILP) problem and it further thrives on the minimization of service delay based on the traffic type. The model avoids possible packet collisions, simultaneous transmissions, routing loops by means of constraints while scrutinizing the wireless nature of links. The effectiveness of the proposed routing and scheduling scheme is comparatively evaluated for multiple network instances.