Third Eye: An Intelligent and Secure Route Planning Scheme for Critical Services Provisions in Internet of Vehicles Environment

Abstract

The advancements in Internet of Things have augmented the importance of innovation and smart technologies, such as self-driving, self-monitoring, and self-controlling as key enablers for future intelligent transport system (ITS). In ITS, critical services such as rescue and disaster, medical emergency, etc., require an efficient route planning by considering performance parameters such as delay, energy, and service-level agreements during peak and off-peak hours. The ignorance of these performance parameters can lead to loss of life, or financial property, or service users. Therefore, Third Eye, a secure information management scheme is proposed by satisfying all the performance parameters as well as satisfying the trust metrics among the vehicles and devices. The proposed scheme is evaluated using various parameters such as qualifying service set mean route between the source and destination (as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$s$</tex-math></inline-formula> to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$t$</tex-math></inline-formula> ), average energy consumption for data transmission, average hop counts, probability of attack strength and error, end-to-end delay, and users query response. The performance results demonstrated the superior performance of the proposed scheme in comparison to the other state-of-the-art schemes.