Special Issue on Mobile Edge Computing For Autonomous Driving (SI: MECAD19)
摘要截稿:
全文截稿: 2018-09-30
影响因子: 2.552
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:硬件 - 2区
• 小类 : 计算机:软件工程 - 2区
Overview
Autonomous driving technology can cause fundamental transformations to the transportation industry in the near future. While autonomous driving can be achieved with an isolated vehicle equipped with on-board processing computers running perception, sensor fusion and vehicle control algorithms, driving performance can be improved tremendously using cloud computing through data aggregation and streaming data analytics. However, wireless network bandwidth is often the performance bottleneck of cloud computing for connected vehicles if large amounts of data are transmitted. To alleviate the network performance bottleneck, Mobile Edge Computing (MEC) is gaining increasing importance in recent years which brings processing from centralized cloud to distributed edge devices close to the vehicles. Non-functional requirements, such as reliability, timing, power and energy consumption are crucially important in this application.
We solicit original and unpublished papers on the following topics of interest related to MEC:
- Edge computing paradigms for autonomous driving
- Edge computing architecture for on-board terminals in autonomous vehicles
- Collaborative edge computing in cloud for autonomous driving
- Energy management of edge computing for autonomous driving
- Sensor fusion in edge computing for autonomous driving
- Edge computing in V2X communication for autonomous driving
- Distributed and online resource management for edge computing