A novel Optimization technique in 5G based IoVs using hybrid Fuzzy Weight-NSGA Scheme

Abstract

With the advancement of 5G based Internet-of-Vehicles (IoVs) networks, to inculcate the current demand in resource sharing among connected devices require Quality of Services (QoS) in data traffics, link capacity and coverage. In this paper we address the multi-objective resource optimization problem in Software-Defined-Network of 5G enabled IoV. A novel technique is proposed as hybrid Fuzzy Weight-NSGA to incorporate optimization of three diversified cost objective functions as connections and the end-to-end delays. The empirical simulation proposed FW-NSGA outperforms with respect to optimization of connections among existing literatures.