Abstract
The Vehicular Ad Hoc Network (VANET) plays a vital role in the development of smart cities, especially in ensuring vehicles' safety on roads. However, VANET wireless-based networks face some challenges such as security, stability, communication, and reliability. To resolve these issues, we propose a fuzzy cluster head selection scheme in Cognitive Radio (CR) VANET, which uses the CR technology for the spectrum sensing algorithm. In this technology, the free spectrums of the primary user are utilized by secondary users without any correlation. Moreover, we have considered some input parameters such as vehicles' average velocity, distance, network connectivity level, lane weight and trustworthiness for the fuzzy system based CR VANET in this research. The selected cluster head provides stability and reliability to the cluster compared to the state of art techniques. Extensive experiments were conducted in order to evaluate the effectiveness of the proposed approach. However, simulation results authenticate more stable and secure cluster formation using the proposed fuzzy logic based CR VANET.
Highlights
Road safety has become a key concern of the people living in big cities
We have extended the work of the cluster head’s stability and improvement in Cognitive Radio (CR) Vehicular Ad Hoc Network (VANET), whereby the primary objective of the improvement is selecting the vehicle with the most trust value
We have suggested two different fuzzy logic for efficient spectrum sensing in CR VANET and cluster head selection
Summary
Road safety has become a key concern of the people living in big cities. This concern is evident due to the increased traffic on small congested roads in big cities [1]. We propose fuzzy logic based cluster head selection in VANET. The combination of CR and VANET technology resolve the issues of scarcity, less bandwidth spectrum and the use of the present spectral resources in a vehicle communication system [15]. We have extended the work of the cluster head’s stability and improvement in CR VANET, whereby the primary objective of the improvement is selecting the vehicle with the most trust value. We have suggested two different fuzzy logic for efficient spectrum sensing in CR VANET and cluster head selection. Four different fuzzy inputs such as average speed, distance, lane weight and trustworthiness of vehicles are considered in the cluster head selection.
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