Abstract
Due to the rapidly growing number of autonomous vehicles, establishing an intelligent transportation system (ITS) supported by the Internet-of-Vehicles (IoV) technology is important. The need for IoV technology is emphasized even more because recent accidents relating to autonomous vehicles show that there are limitations in the reliability of autonomous vehicles only using vehicle onboard sensors. In addition, a highly reliable support system for many vehicular applications is in strong demand, which is why there is a need for advanced vehicle-to-everything (V2X) technology. The two major types of V2X technology are dedicated short-range communication (DSRC) and cellular-V2X (C-V2X). Many vehicles are already equipped with DSRC; however, the use of C-V2X is highly supported by many mobile communication companies and the 5GAA, which is why C-V2X is expected to be very widely used. In this article, a hybrid V2X (H-V2X) scheme is proposed, which adaptively controls C-V2X to satisfy the key-performance indicator (KPI) requirements as much as possible, and uses DSRC transmission when the C-V2X required performance cannot be reliably supported. The performance analysis graphs show that the gain in performance of the proposed H-V2X scheme can provide an improved performance compared to other V2X schemes, which makes it more suitable to support reliable autonomous vehicles.
Original language | English |
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Article number | 9312674 |
Pages (from-to) | 10678-10692 |
Number of pages | 15 |
Journal | IEEE Internet of Things Journal |
Volume | 8 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2021 Jul 1 |
Bibliographical note
Funding Information:Manuscript received August 31, 2020; revised December 3, 2020; accepted December 23, 2020. Date of publication January 4, 2021; date of current version June 23, 2021. This work was supported by the Institute for Information and Communications Technology Promotion (IITP) funded by the Republic of Korea Government [MIST, Free Space Optical (FSO) Communication Based Vertical Mobile Network] under Grant 2019-0-00685. (Corresponding author: Jong-Moon Chung.) Sihun Heo is with the Department of Vehicle Convergence Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: huhjun93@yonsei. ac.kr).
Publisher Copyright:
© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications