发表状态 | 已发表Published |
题名 | Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities |
作者 | |
发表日期 | 2020 |
发表期刊 | IEEE Transactions on Vehicular Technology
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ISSN/eISSN | 1895-45 |
卷号 | 69期号:9页码:9364-9375 |
摘要 | The advent of 5G technologies enables highly anticipated prospect of the internet of things in smart cities. Smart terminals become a necessity with increasing number of applications and tasks. The limited computational resources and constrained battery energy at terminals compel tasks to be offloaded for execution sometimes. For time-sensitive and safety-critical tasks, fog computing is the preferred option instead of cloud computing, since fog computing brings the computing resources to the edge of networks and thus has shorter response latency. In this context, vehicular fog computing (VFC) that supplements fog computing by contributing vehicular computing resources has attracted increasing attention in recent years. However, a few of challenging issues regarding task offloading in VFC still need to be addressed. For example, decision making for task allocation and response latency optimization are not straightforward, since on one hand the connection between vehicles and end users is usually short or intermittent; on the other hand the multi-hop inter-vehicle task forwarding is time-consuming and thus prone to packet loss. To address the latency related issue, we in this paper propose a three-layer architecture of VFC to schedule the tasks offloaded from mobile devices (MDs). The road side unit (RSU) is endowed with computing facilities and storing resources such that it can act as not only a gateway to the remote cloud center but also a centralized infrastructure responsible for task scheduling among vehicles. A greedy heuristic based scheduling strategy and algorithms are proposed in the next. Last, an extensive series of experiments are carried out to investigate the proposed scheduling strategy. The results show that the proposed scheduling strategy outperforms other well known heuristics based scheduling strategies such as Min-Min and Max-Min and thus has wide prospects. © 1967-2012 IEEE. |
关键词 | greedy heuristic offloading strategy task scheduling Vehicular fog computing |
DOI | 10.1109/TVT.2020.2970763 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Engineering ; Telecommunications ; Transportation |
WOS类目 | Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology |
WOS记录号 | WOS:000577995300011 |
SciVal 热门主题 | T.4790 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/1840 |
专题 | 个人在本单位外知识产出 |
作者单位 | 1.School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China 2.63rd Research Institute, National University of Defense Technology, Changsha, China 3.SUSTech Institute of Future Networks, Southern University of Science and Technology, Shenzhen, China 4.Faculty of Science and Technology, University of Macau, Taipa, Macau |
推荐引用方式 GB/T 7714 | Tang, Chaogang,Wei, Xianglin,Zhu, Chunshenget al. Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities[J]. IEEE Transactions on Vehicular Technology, 2020, 69(9): 9364-9375. |
APA | Tang, Chaogang, Wei, Xianglin, Zhu, Chunsheng, Wang, Yi, & Jia, Weijia. (2020). Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities. IEEE Transactions on Vehicular Technology, 69(9), 9364-9375. |
MLA | Tang, Chaogang,et al."Mobile Vehicles as Fog Nodes for Latency Optimization in Smart Cities". IEEE Transactions on Vehicular Technology 69.9(2020): 9364-9375. |
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