Abstract
The Internet of vehicles and vehicular ad-hoc networks (VANET) offers numerous opportunities for managing the transportation problems effectively. The high mobility and wireless communication in VANET lead to adequate network topology modifications, resulting in network instability and insecure data communication. With an unsteady flow of traffic, vehicles are unevenly distributed in the geographical areas in practice. A new type 2 fuzzy logic-based secure clustering (T2FLSC) with cloud-based data dissemination scheme called the T2FLSC-CDD model for the VANET has been introduced for resolving this issue. The vehicles are dynamically clustered by the use of the T2FLSC technique, which elects the CHs (Cluster Head) by the use of different parameters, namely, travelling speed (TS), link quality (LQ), trust factor (TF), inter-vehicle distance (IVD) and neighboring node count (NCC). The inclusion of the trust factor helps to select the proper CHs for the secure data dissemination process. Once the CHs are selected, a cloud connection can broadcast the Emergency messages to every vehicle. To save the location details of the vehicles in the cloud securely, the Blowfish technique has also been implemented in this work. For validating the effectiveness of the T2FLSC-CDD model, an extensive results analysis has been performed with respect to various measures. The attained simulation outcomes have pointed out that the proposed model has achieved maximum packet delivery ratio (PDR) and throughput with minimum key computation time (KCT), routing control overhead (RCO), time delay (TD), and key recovery time (KRT).
Highlights
The developing application of the Internet of things (IoT) has been converted to several domains, and one of the existing models is the Vehicular Ad Hoc Networks (VANETs), which has been transformed as a novel method of vehicles and has been named as the Internet of Vehicles (IoV) [1]
This paper has presented a type 2 fuzzy logic-based secure clustering (T2FLSC)-CDD model for the cloud-based emergence message dissemination in VANET
The proposed model involves a set of different processes namely the neighborhood discovery phase, sensor reading, T2FLSC based Cluster Head (CH) selection, CH registration, secure cloud connection, data analysis and broadcasting
Summary
The developing application of the Internet of things (IoT) has been converted to several domains, and one of the existing models is the Vehicular Ad Hoc Networks (VANETs), which has been transformed as a novel method of vehicles and has been named as the Internet of Vehicles (IoV) [1]. Hand, the cloud-based VANET obtains the spontaneous traffic flows that comprises of the macro-controls of the local positions of the individual vehicles that develops the précised decisions of the congestion and traffic flows that computes the expected regions and reliable applicants respectively It is applicable for forwarding the protective messages with the location of the accident case, seriousness of the accident, computation of the accident time, and diverse routes for vehicles shared in various cases. To resolve this issue, a new type 2 fuzzy logic-based secure clustering (T2FLSC) with the cloud-based data dissemination scheme called the T2FLSC-CDD model for VANET has been proposed.
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