Performance Evaluation of a Fuzzy-Based Cluster-Management System for VANETs

Abstract

In recent years, 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 evaluate the proposed Fuzzy-Based Cluster-Management System (FBCMS) for VANETs. We present and compare two fuzzy-based systems: FBCMS1 and FBCMS2 for clustering of vehicles in VANETs. We conclude 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.