A fuzzy-based approach for cluster management in VANETs: Performance evaluation for two fuzzy-based systems

In recent years, due to the growing interest in smart cities and Internet of Things (IoT) applications, several innovation types of networks, such as Vehicular Ad-hoc Networks (VANETs) and Opportunistic networks have been deeply investigated. Moreover, inter-vehicle communication has attracted attention because it can be applicable not only to alternative networks but also to various communication systems. In this paper, we present a Fuzzy-Based Cluster-Management System (FBCMS) for VANETs. We present and compare two fuzzy-based system models: FBCMS1 and FBCMS2 for clustering of vehicles in VANETs. We evaluate both systems by simulations. The simulation results show that by selecting vehicles with high GS, RA, SC and DC values, the vehicles have high connectivity with other vehicles and are more secure, so they will be selected as the cluster head of the cluster. By comparing FBCMS1 and FBCMS2, we found that the FBCMS2 can manage better the vehicles in the cluster than FBCMS1. (C) 2018 Elsevier B.V. All rights reserved.