A Decision Support Model for Improved Routing in Software Defined Vehicular Ad hoc Networks

The inherent dynamism of Vehicular Ad hoc Networks (VANETs), distinguished by rapid movement and frequent changes in network structure, imposes substantial obstacles in effective route management and optimization. The use of Software Defined Networking (SDN) in VANETs enables a centralized control mechanism that provides flexibility and adaptability in the administration of the network. The SDN Controller in SDN is responsible for route determination. There are many factors like the distance between vehicles, movement direction, connection duration, data transfer rate, speed, and vehicle data transmission range that are involved to determine the route. This study introduces an innovative decision support model for Software Defined Vehicular Ad hoc Networks (SD-VANETs) that use the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to improve the route determination which further enhances the VANETs routing. The model estimates the relative importance of the factors to decide the route by the SDN controller in Sd-VANETs. This work enhances the progress of intelligent routing solutions in VANETs, providing a scalable and efficient way for future ITS advancements.