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Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles [article]

Jinkai Zheng, Tom H. Luan, Longxiang Gao, Yao Zhang, Yuan Wu
2021 arXiv   pre-print
In this paper, we propose a Digital Twin (DT) empowered task offloading framework for Internet of Vehicles.  ...  In specific, to preserve the precious computing resource at different levels for most appropriate computing tasks, we integrate a learning scheme based on the prediction of futuristic computing tasks in  ...  The vehicle in physical space is connected to the digital twin via the Internet.  ... 
arXiv:2201.09076v1 fatcat:yw5cihghgjczfb2hdu635q37gu

Guest Editorial: AI Empowered Communication and Computing Systems for Industrial Internet of Things

Ning Zhang, Yonghui Li, Yulei Wu, Qinyu Zhang
2020 IEEE Transactions on Industrial Informatics  
The fifth article entitled "Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks" studies computation offloading with the objective of minimizing the energy consumption  ...  and improving efficiency of data processing in digital twin networks.  ... 
doi:10.1109/tii.2020.3045997 fatcat:glydvgp4sbdqfo2rnufqyp6gm4

Guest Editorial: Special Issue on Blockchain and Edge Computing Techniques for Emerging IoT Applications

Victor C. M. Leung, Xiaofei Wang, F. Richard Yu, Dusit Niyato, Tarik Taleb, Sangheon Pack
2021 IEEE Internet of Things Journal  
Focusing on the research of social-aware cloud computing, cooperative cell caching, and mobile traffic offloading, he has authored over 100 technical papers in  ...  ., in "NOMA-enabled cooperative computation offloading for blockchain-empowered Internet of Things: A learning approach," propose a multiagent deep reinforcement learning framework to achieve long-term  ...  Furthermore, to improve the efficiency of the integrated scheme, an asynchronous aggregation scheme and digital twin empowered reinforcement learning are used to schedule relaying users and allocate bandwidth  ... 
doi:10.1109/jiot.2021.3050050 fatcat:rux57gjppjdqla556myxnvp4ve

Table of Contents

2022 IEEE Transactions on Computational Social Systems  
SCANNING THE ISSUE AND BEYOND MetaSocieties in Metaverse: MetaEconomics and MetaManagement for MetaEnterprises and MetaCities .  ...  Wang 230 Digital Twin Empowered Content Caching in Social-Aware Vehicular Edge Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Shi 97 Joint Optimization of Task Offloading and Resource Allocation Based on Differential Privacy in Vehicular Edge Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcss.2022.3145107 fatcat:vkv3zynombbsna74qb4oji4blu

Table of Contents

2022 IEEE Internet of Things Journal  
Li 1414 Digital-Twin-Assisted Task Offloading Based on Edge Collaboration in the Digital Twin Edge Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Pozzebon 1068 Task Offloading Optimization for UAV-Assisted Fog-Enabled Internet of Things Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2021.3136382 fatcat:aqxpiojnfrhdnhbddraejvq36u

Table of Contents

2022 IEEE Transactions on Industrial Informatics  
Zhang 1405 Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  He 965 Rethinking the Value of Just-in-Time Learning in the Era of Industrial Big Data . . . . . . . . . . . . Z. Yang and Z.  ... 
doi:10.1109/tii.2021.3119244 fatcat:uugmz2difrdhrjdz4zzs4ttsci

Guest Editorial Special Issue on Collaborative Edge Computing for Social Internet of Things Systems

Zhaolong Ning, Meng Chu Zhou, Yong Yuan, Edith C. H. Ngai, Ricky Yu-Kwong Kwok
2022 IEEE Transactions on Computational Social Systems  
In [A16] , Zhang et al. studied socially aware vehicular edge computing and proposed a social system caching framework for digital twin empowered content.  ...  process.Also, differential privacy techniques are introduced in the joint task offloading and resource allocation algorithms, so that the privacy of real-time data of connected vehicles is also strongly  ...  His research interests are in Petri nets, intelligent automation, the Internet of Things, big data, web services, and intelligent transportation. Dr.  ... 
doi:10.1109/tcss.2022.3145152 fatcat:5okp5dd7vjcknf6aaxho4gxx34

Guest Editorial: Edge Intelligence for Beyond 5G Networks

Yan Zhang, Zhiyong Feng, Hassnaa Moustafa, Feng Ye, Usman Javaid, Chunfen Cui
2021 IEEE wireless communications  
A multi-task learning model is applied to obtain the optimal offloading strategy of edge intelligence in near-real-time.  ...  In the article "Digital Twins for Intelligent Authorization in the B5G-enabled Smart Grid", Lopez et al. carry out a prospective analysis of the future Smart Grid through the evolution of the Digital Twins  ... 
doi:10.1109/mwc.2021.9430853 fatcat:aiq5lqtporgwbhnme7zflxbao4

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 IEEE Access  
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  Furthermore, its evolved versions, such as deep reinforcement learning (DRL), can achieve higher convergence speed efficiency and learning accuracy based on the parametric approximation for the large-scale  ...  Similarly, in [87] , the joint optimization of task offloading and resource allocation in a satellite-based vehicle-to-vehicle (V2V) network was presented.  ... 
doi:10.1109/access.2022.3183647 fatcat:pd5z6q4innd5jl25g4r7b4nq3i

Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues

Yao Du, Zehua Wang, Victor C. M. Leung
2021 Future Internet  
Motivated by the recent advancement of multi-access edge computing (MEC) and artificial intelligence (AI), blockchain-enabled edge intelligence has become an emerging technology for the Internet of Things  ...  To be specific: (1) we first offer some basic knowledge of DLT, MEC, and AI; (2) a comprehensive review of current peer-reviewed literature is given to identify emerging trends in this research area; and  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13020048 fatcat:2j6xvdr5hrckxeb5aku2zjzuba

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence [article]

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 arXiv   pre-print
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  Furthermore, its evolved versions, such as deep RL (DRL), can achieve higher convergence speed efficiency and learning accuracy based on the parametric approximation for the large-scale state-action space  ...  To evaluate the service migration cost caused by user mobility in an unpredictable MEC environment, the authors of [144] propose a digital twin (DT)-aided MEC, where a digital representative similar  ... 
arXiv:2201.11410v4 fatcat:24igkq4kbrb2pjzwf3mf3n7qtq

Table of Contents

2022 IEEE Transactions on Industrial Informatics  
Vasilakos 2807 Digital Twin-Assisted Real-Time Traffic Data Prediction Method for 5G-Enabled Internet of Vehicles . . . . . . . . . .  ...  Lall 2714 A Reinforcement Learning-Empowered Feedback Control System for Industrial Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tii.2021.3136014 fatcat:a363pcbw5jfi3meuxcsfjgtwjq

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges [article]

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity.  ...  Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual user-generated content but also  ...  in digital edge twin networks.  ... 
arXiv:2203.05471v2 fatcat:jhl66faxw5clnopsb5rbsopzoq

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds [article]

Kai Li, Yingping Cui, Weicai Li, Tiejun Lv, Xin Yuan, Shenghong Li, Wei Ni, Meryem Simsek, Falko Dressler
2022 arXiv   pre-print
In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments.  ...  data communications, cost-effective mobile edge computing (MEC), and digital twins.  ...  and IoT-empowered digital twins.  ... 
arXiv:2208.13501v1 fatcat:wub7jy6flrhpbefd3rn4jjb7te

Joint Optimization for MEC Computation Offloading and Resource Allocation in IoV Based on Deep Reinforcement Learning

Jian Wang, Yancong Wang, Hongchang Ke, Konglin Zhu
2022 Mobile Information Systems  
In the Internet of Vehicle (IoV), the limited computing capacity of vehicles hardly processes the intensive computation tasks locally.  ...  The proposed scheme learns the optimal actions to minimize the total weighted cost which is designed as the vehicles' satisfaction based on the type of stochastic arrival tasks and dynamic interaction  ...  For example, deep Q-network (DQN) is adopted in multiple vehicles offloading system to obtain the optimized offloading decisions which maximize the QoS of digital twinning-empowered IoV system [23] .  ... 
doi:10.1155/2022/9230521 fatcat:7qvgpv6w4jew5cdchsqinjtdzm
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