Adaptive fuzzy-based message dissemination and micro-artificial bee colony algorithm optimised routing scheme for vehicular ad hoc network

Abstract

Nowadays, researches focus on providing services for the emergency vehicle and also providing potentialapplications. Vehicular ad hoc networks (VANETs) are considered as an emerging research area. In heavily populated cities, theemergency vehicles not being able to reach their destination (hospitals) on time due to the slow-moving traffic. Hence, it resultsin loss of lives many times. Therefore, the important concern in this area is reaching the destination in an emergency situation.In this study, an adaptive fuzzy-based message dissemination and micro artificial bee colony algorithm (MABC) optimisedrouting scheme for VANET is proposed. An adaptive fuzzy-based multi-criteria decision-making approach is adopted for thecluster head selection. This method combines the fuzzy decision-making trial and evaluation laboratory model-based analyticalnetwork process (ANP) termed as fuzzy DANP (i.e. Decision Making Trial and Evaluation Laboratory (DEMATEL) basedAnalytic Network Processes (ANP)) and fuzzy Višekriterijumska Optimizacija I kompromisno Rešenje methods for optimaldecision making. For emergency broadcast, a vehicular emergency dissemination protocol is used in vehicle-to-vehiclecommunication. Finally, an MABC is used to select the best minimum route from start to the endpoint. The proposed method issimulated in MATLAB, and the results show outstanding improvements compared to other existing approaches.