Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning

In order to reduce computation complexity, a two-layer mutli-RSU (road side unit) service caching and peer offloading algorithm (MPO) was proposed to decouple the optimization problem.In the designed MPO, the outer layer utilized multi-agent meta-reinforcement learning, which established long short-...

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Main Authors: Zhaolong NING, Kaiyuan ZHANG, Xiaojie WANG, Lei GUO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021104/
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author Zhaolong NING
Kaiyuan ZHANG
Xiaojie WANG
Lei GUO
author_facet Zhaolong NING
Kaiyuan ZHANG
Xiaojie WANG
Lei GUO
author_sort Zhaolong NING
collection DOAJ
description In order to reduce computation complexity, a two-layer mutli-RSU (road side unit) service caching and peer offloading algorithm (MPO) was proposed to decouple the optimization problem.In the designed MPO, the outer layer utilized multi-agent meta-reinforcement learning, which established long short-term memory (LSTM) network as the meta-agent to balance decisions of local agents and accelerate learning progress.The inner layer utilized lagrange multiplier method to achieve optimal decision for RSU peer offloading.Experimental results based on real traffic data in Hangzhou demonstrate that the proposed method outperforms other methods and remains robust under large-scale workloads.
format Article
id doaj-art-b4b166c4157549a7bc336a73c9c6af38
institution Kabale University
issn 1000-436X
language zho
publishDate 2021-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b4b166c4157549a7bc336a73c9c6af382025-01-14T07:22:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-06-014211813059742005Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learningZhaolong NINGKaiyuan ZHANGXiaojie WANGLei GUOIn order to reduce computation complexity, a two-layer mutli-RSU (road side unit) service caching and peer offloading algorithm (MPO) was proposed to decouple the optimization problem.In the designed MPO, the outer layer utilized multi-agent meta-reinforcement learning, which established long short-term memory (LSTM) network as the meta-agent to balance decisions of local agents and accelerate learning progress.The inner layer utilized lagrange multiplier method to achieve optimal decision for RSU peer offloading.Experimental results based on real traffic data in Hangzhou demonstrate that the proposed method outperforms other methods and remains robust under large-scale workloads.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021104/Internet of vehiclesedge service cachingcooperative offloadingmeta-reinforcement learning
spellingShingle Zhaolong NING
Kaiyuan ZHANG
Xiaojie WANG
Lei GUO
Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
Tongxin xuebao
Internet of vehicles
edge service caching
cooperative offloading
meta-reinforcement learning
title Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
title_full Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
title_fullStr Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
title_full_unstemmed Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
title_short Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning
title_sort cooperative service caching and peer offloading in internet of vehicles based on multi agent meta reinforcement learning
topic Internet of vehicles
edge service caching
cooperative offloading
meta-reinforcement learning
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021104/
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AT kaiyuanzhang cooperativeservicecachingandpeeroffloadingininternetofvehiclesbasedonmultiagentmetareinforcementlearning
AT xiaojiewang cooperativeservicecachingandpeeroffloadingininternetofvehiclesbasedonmultiagentmetareinforcementlearning
AT leiguo cooperativeservicecachingandpeeroffloadingininternetofvehiclesbasedonmultiagentmetareinforcementlearning