Open AccessAn Improved Framework for C-V2X Systems with Data Integration and Identity-based Authentication
Author(s) -
Rui Huang
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111905
Subject(s) - computer science , software deployment , authentication (law) , enhanced data rates for gsm evolution , identity (music) , sensor fusion , distributed computing , computer network , embedded system , computer security , artificial intelligence , software engineering , physics , acoustics
Current trends of autonomous driving apply the hybrid use of on-vehicle and roadside smart devices to perform collaborative data sensing and computing, so as to achieve a comprehensive and stable decision making. The integrated system is usually named as C-V2X. However, several challenges have significantly hindered the development and adoption of such systems. For example, the difficulty of accessing multiple data protocols of multiple devices at the bottom layer, and the centralized deployment of computing arithmetic power. Therefore, this work proposes a novel framework for the design of C-V2X systems. First, a highly aggregated architecture is designed with fully integration with multiple traffic data resources. Then a multilevel information fusion model is designed based on multi-sensors in vehicle-road coordination. The model can fit different detection environments, detection mechanisms, and time frames. Finally, a lightweight and efficient identity-based authentication method is given. The method can realize bidirectional authentication between end devices and edge gateways.