A Sustainable and Energy-Efficient Computing Framework for Internet of Vehicles Networks in 6g Iot Environment

Abstract

Intelligent transportation systems (ITS) are crucial for the development of sustainable cities. ITS are technologies that can help cities become more efficient, reduce traffic congestion, improve public transportation, and reduce pollution to ensure the quality and sustainability of communal services. ITS can also assist with traffic management and accident avoidance in urban areas. Vehicles, roads, traffic signals, centric data, roadside units, and control centers are all components of an ITS. To optimize traffic, these components are connected, interact, and share information via the Internet to form the Internet of Vehicles Networks (also known as IoV Networks). Collision warning apps and autonomous car systems are among the most significant obstacles for IoV networks. Current cloud-based solutions result in lengthy service response times and excessive energy use. To solve this issue, we propose an edge-based computing architecture for IoV applications that will decrease service response times, improve performance and energy efficiency, and increase dependability. The experimental results have proved the effectiveness of the proposed architecture compared to existing solutions.

Keywords: Edge Computing, Cloud Computing, Internet of Vehicles, IoV Networks, 6G IoT