A Secure and Trustworthy Intelligent System for Clustering in VANETs Using Fuzzy Logic

Abstract

Recently, smart cities and Internet of Things (IoT) applications, such as Vehicular Ad-hoc Networks (VANETs) and Opportunistic networks have been deeply investigated. However, these kinds of wireless networks have security problems. Also, the vehicles can be not trustworthy, which brings different communication problems. In this work, we present a Fuzzy Cluster Management System (FCMS) for VANETs. For FCMS, we use four input parameters: Vehicle Relative Speed with Vehicle Cluster (VRSVC), Vehicle Degree of Centrality (VDC), Vehicle Security (VS) and Vehicle Trustworthiness (VT). The output parameter is Vehicle Remain or Leave Cluster (VRLC). We evaluate the proposed system by computer simulations. The simulation results show that vehicles with the same VRSVC and with high VDC, VS and VT values have higher possibility to remain in the cluster.