The clustering concept consists of organising network nodes into virtual groups. This paper deals with clustering of pure ad hoc VANET on highways. Moreover, in contrast to urban roads, highways are obstacle free. Moreover, vehicle density is high inside urban zones and relatively low on highways. For instance, vehicles’ speed in urban environments is lower than it is on highways. In, some key differences between urban and highway environments are identified. However, VANET-related works have mainly focused on urban and highway scenarios. Vehicles can move on three types of roads : dense city roads, rural roads and highways. 1 gives a graphical presentation of different VANET architectures. A hybrid architecture couples both V2V and V2R communications. This gives rise to vehicle-to-road-side (V2R) communication. Vehicles in a pure cellular/WLAN VANET communicate only with cellular gateways or WLAN access points that are installed along the roads. Such a communication mode is called vehicle to vehicle (V2V). Moving vehicles, in pure ad hoc VANET, communicate directly without a need for any central authority. OBU and RSU nodes can be deployed according to pure ad hoc, pure cellular/wireless local area network (WLAN) or hybrid VANET architectures. On the other hand, RSU nodes are static, connected to the Internet and can have a large coverage area. OBU nodes are moving, have enough resources and are prone to leave the network quickly. Two categories of nodes can be distinguished in VANET : on-board units (OBUs) and road-side units (RSUs).
IS THERE ANY FUZZY AHP AND TOPSIS SOFTWARE FOR MAC DRIVERS
Intelligent transportation systems can benefit from real-time communication offered by vehicular ad hoc network (VANET) for deploying safety, traffic efficiency and entertainment applications for drivers and passengers on roads. Obtained results show that CH election based on HF-EVAMIX leads to more stable clustering in comparison with HF-TOPSIS, HF-VIKOR and the conventional threshold-based method. A simulation study, under a highway scenario, is conducted to investigate the performance of HF-TOPSIS, HF-VIKOR and HF-EVAMIX-based clustering algorithms. In this study, technique for order of preference by similarity to ideal solution (TOPSIS), Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) and EVAluation of MIXed data (EVAMIX) MCDM methods are applied. Within the proposed framework, a multiple criteria decision-making (MCDM) method should be used to calculate vehicle eligibility to become CH. An analogy is suggested between ‘ranking of HF elements’ and ‘CH selection in VANET’. This study presents a novel hesitant fuzzy (HF) multi-criteria ranking framework to deal with cluster-heads (CHs) election problem in VANET. To overcome this problem, a hierarchical topology can be created using a clustering algorithm. IET Generation, Transmission & Distributionįast-moving nodes in vehicular ad hoc network (VANET) make network topology very dynamic, which deteriorates communication reliability and scalability.IET Electrical Systems in Transportation.IET Cyber-Physical Systems: Theory & Applications.IET Collaborative Intelligent Manufacturing.CAAI Transactions on Intelligence Technology.