A QoS-Aware Fuzzy-Based System for Assessment of Edge Computing Resources in SDN-VANETs

Abstract

Vehicular Ad hoc Networks (VANETs) face resource management challenges due to their dynamic network topology and massive amount of data generated by the ever-rising number of vehicles. In this paper, we implement a Fuzzy-based System for Assessment of Neighboring Vehicles Processing Capability (FS-ANVPC), in which we consider two models (FS-ANVPC1 and FS-ANVPC2) to assess the available edge computing resources in Software Defined-VANETs. The proposed system determines the processing capability of each neighboring vehicle, and based on the final value, it can be decided whether the edge layer can be used by the vehicles in need of additional resources. FS-ANVPC1 takes into consideration the available resources of the neighboring vehicles and the predicted contact duration between them and the vehicle in need, while FS-ANVPC2 includes in addition the quality of service of the communication link among vehicles. We evaluate the proposed system by computer simulations. From the evaluation results, we see that FS-ANVPC2 shows better results than FS-ANVPC1 although its complexity is higher.