Joint communication and computing resource allocation in vehicular edge computing

Joint communication and computing resource allocation in vehicular edge computing

The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle services by offloading the applications to edge...

Full description

Bibliographic Details
Main Authors: Jianan Sun, Qing Gu, Tao Zheng, Ping Dong, Yajuan Qin
Format: Article
Language:English
Published: SAGE Publishing 2019-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719837859
id doaj-b4bb2f1541114196aaeeaf528f32efbb
record_format Article
spelling doaj-b4bb2f1541114196aaeeaf528f32efbb2020-11-25T03:02:54ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772019-03-011510.1177/1550147719837859Joint communication and computing resource allocation in vehicular edge computingJianan Sun0Qing Gu1Tao Zheng2Ping Dong3Yajuan Qin4School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaUniversity of Science and Technology Beijing, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaThe emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle services by offloading the applications to edge servers. However, it is still a challenge to efficiently utilize the available resources of vehicle nodes. In this article, we introduce mobile edge computing technology to vehicular ad hoc network to build a vehicular edge computing system, which provides a wide range of reliable services by utilizing the computing resources of vehicles on the road. Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. Extensive performance evaluation demonstrates that the proposed algorithm can effectively shorten the task execution time and has high reliability.https://doi.org/10.1177/1550147719837859
collection DOAJ
language English
format Article
sources DOAJ
author Jianan Sun
Qing Gu
Tao Zheng
Ping Dong
Yajuan Qin
spellingShingle Jianan Sun
Qing Gu
Tao Zheng
Ping Dong
Yajuan Qin
Joint communication and computing resource allocation in vehicular edge computing
International Journal of Distributed Sensor Networks
author_facet Jianan Sun
Qing Gu
Tao Zheng
Ping Dong
Yajuan Qin
author_sort Jianan Sun
title Joint communication and computing resource allocation in vehicular edge computing
title_short Joint communication and computing resource allocation in vehicular edge computing
title_full Joint communication and computing resource allocation in vehicular edge computing
title_fullStr Joint communication and computing resource allocation in vehicular edge computing
title_full_unstemmed Joint communication and computing resource allocation in vehicular edge computing
title_sort joint communication and computing resource allocation in vehicular edge computing
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2019-03-01
description The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle services by offloading the applications to edge servers. However, it is still a challenge to efficiently utilize the available resources of vehicle nodes. In this article, we introduce mobile edge computing technology to vehicular ad hoc network to build a vehicular edge computing system, which provides a wide range of reliable services by utilizing the computing resources of vehicles on the road. Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. Extensive performance evaluation demonstrates that the proposed algorithm can effectively shorten the task execution time and has high reliability.
url https://doi.org/10.1177/1550147719837859
work_keys_str_mv AT jianansun jointcommunicationandcomputingresourceallocationinvehicularedgecomputing
AT qinggu jointcommunicationandcomputingresourceallocationinvehicularedgecomputing
AT taozheng jointcommunicationandcomputingresourceallocationinvehicularedgecomputing
AT pingdong jointcommunicationandcomputingresourceallocationinvehicularedgecomputing
AT yajuanqin jointcommunicationandcomputingresourceallocationinvehicularedgecomputing
_version_ 1724687786063167488

Similar Items