Task collaborative offloading scheme in vehicle multi-access edge computing network

In order to solve the problem that traditional mobile edge computing network can’t be straightforwardly applied to the Internet of vehicles (IoV) due to high speed mobility and dynamic network topology,a vehicular edge multi-access computing network (VE-MACN) was introduced to realize collaborative...

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Main Authors: Guanhua QIAO, Supeng LENG, Hao LIU, Kaisheng HUANG, Fan WU
Format: Article
Language:zho
Published: China InfoCom Media Group 2019-03-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00089/
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author Guanhua QIAO
Supeng LENG
Hao LIU
Kaisheng HUANG
Fan WU
author_facet Guanhua QIAO
Supeng LENG
Hao LIU
Kaisheng HUANG
Fan WU
author_sort Guanhua QIAO
collection DOAJ
description In order to solve the problem that traditional mobile edge computing network can’t be straightforwardly applied to the Internet of vehicles (IoV) due to high speed mobility and dynamic network topology,a vehicular edge multi-access computing network (VE-MACN) was introduced to realize collaborative computing offloading between roadside units and smart vehicles.In this context,the collaborative computation offloading was formulated as a joint multi-access model selection and task assignment problem to realize the good balance between long-term system utility,diverse needs of IoV applications and energy consumption.Considering the complex joint optimization problem,a deep reinforcement learning-based collaborative computing offloading scheme was designed to overcome the curse of dimensionality for Q-learning algorithm.The simulation results demonstrate that the feasibility and effectiveness of proposed offloading scheme.
format Article
id doaj-art-faa5357356dd4dbbbb22c55e7aa266e8
institution Kabale University
issn 2096-3750
language zho
publishDate 2019-03-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-faa5357356dd4dbbbb22c55e7aa266e82025-01-15T02:52:22ZzhoChina InfoCom Media Group物联网学报2096-37502019-03-013515959644158Task collaborative offloading scheme in vehicle multi-access edge computing networkGuanhua QIAOSupeng LENGHao LIUKaisheng HUANGFan WUIn order to solve the problem that traditional mobile edge computing network can’t be straightforwardly applied to the Internet of vehicles (IoV) due to high speed mobility and dynamic network topology,a vehicular edge multi-access computing network (VE-MACN) was introduced to realize collaborative computing offloading between roadside units and smart vehicles.In this context,the collaborative computation offloading was formulated as a joint multi-access model selection and task assignment problem to realize the good balance between long-term system utility,diverse needs of IoV applications and energy consumption.Considering the complex joint optimization problem,a deep reinforcement learning-based collaborative computing offloading scheme was designed to overcome the curse of dimensionality for Q-learning algorithm.The simulation results demonstrate that the feasibility and effectiveness of proposed offloading scheme.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00089/mobile edge computingmulti-access technologyInternet of vehicles (IoV)computation offloadingdeep reinforcement learning
spellingShingle Guanhua QIAO
Supeng LENG
Hao LIU
Kaisheng HUANG
Fan WU
Task collaborative offloading scheme in vehicle multi-access edge computing network
物联网学报
mobile edge computing
multi-access technology
Internet of vehicles (IoV)
computation offloading
deep reinforcement learning
title Task collaborative offloading scheme in vehicle multi-access edge computing network
title_full Task collaborative offloading scheme in vehicle multi-access edge computing network
title_fullStr Task collaborative offloading scheme in vehicle multi-access edge computing network
title_full_unstemmed Task collaborative offloading scheme in vehicle multi-access edge computing network
title_short Task collaborative offloading scheme in vehicle multi-access edge computing network
title_sort task collaborative offloading scheme in vehicle multi access edge computing network
topic mobile edge computing
multi-access technology
Internet of vehicles (IoV)
computation offloading
deep reinforcement learning
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00089/
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AT supengleng taskcollaborativeoffloadingschemeinvehiclemultiaccessedgecomputingnetwork
AT haoliu taskcollaborativeoffloadingschemeinvehiclemultiaccessedgecomputingnetwork
AT kaishenghuang taskcollaborativeoffloadingschemeinvehiclemultiaccessedgecomputingnetwork
AT fanwu taskcollaborativeoffloadingschemeinvehiclemultiaccessedgecomputingnetwork