Vehicular ad hoc networks (VANETs) are the form of mobile ad hoc network that offers comfort and protection to road consumers. Accident prevention and traffic safety are improved by using VANET. One of the challenging tasks is developing an efficient routing protocol due to the VANET characteristics including rapid topology changes, frequent link disconnection, and self-organizations. Clustering is an important strategy for solving these issues in the mobile environment. In this study, we have proposed an evolutionary Black Widow Optimization (BWO) based Neuro-Fuzzy Optimization (EBW-NFO) algorithm for a cluster routing protocol that considers mobility constraints, mistrust value parameters, and Quality of Service (QoS) requirements. During communications, the connectivity and stability are increased and the EBW-NFO algorithm offers a stable and reliable clustering protocol. The experiments are conducted using an NS2 simulator and the performance is verified using different performance metrics
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.