Pr-CAI: Priority based-Context Aware Information scheduling for SDN-based vehicular network

Abstract

The Intelligent Transport System (ITS) services recon upon reliable information dissemination among the heterogeneous vehicular network components along the roads. The information sharing among vehicles, pedestrian units and RoadSide Units (RSUs) is paramount in dynamic vehicular network to provide real-time data services in vehicular networks. Due to distinctive vehicular network characteristics, it is extremely challenging to provide efficient data services in heterogeneous traffic scenario. Firstly, the ITS services have different Quality of Service (QoS) constraints which varies in line with application specification. Secondly, there is a need of coordination among network resources in vehicular network. In this work, a Software Defined Network (SDN) based vehicular network model has been presented to provide reliable data services in heterogeneous traffic in urban environment. The Context Aware Information Scheduling (CAIS) problem has been formulated by analysing the characteristics and QoS requirements of ITS services. A Priority based Context Aware Information (Pr-CAI) scheduling algorithm has been proposed to ensure real time data service scheduling, which assigns priority to requests based on service deadline, request selection priority and traffic dynamics. The Pr-CAI has been simulated for different heterogeneous traffic scenarios to analyse its performance. The comprehensive simulation results prove the ascendancy of proposed algorithm with respect to the existing compared algorithms. The Pr-CAI scheduling algorithm ensures real time data service scheduling for different ITS services that maximizes the service ratio and provides fairness amongst users.