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Cost-Effective Optimization for Blockchain-Enabled NOMA-Based MEC Networks

Jianbo Du, Yan Sun, Aijing Sun, Guangyue Lu, Zhixian Chang, Haotong Cao, Jie Feng, Mohamed Amine Ferrag
2021 Security and Communication Networks  
In this paper, we propose a new NOMA-based MEC-enabled blockchain framework.  ...  Under the conditions of a given task execution deadline, the decision of offloading, local computing resource allocation, user clustering and admission control, and transmit power control is jointly optimized  ...  a NOMA-based mixed edge and cloud-enabled blockchain network.  ... 
doi:10.1155/2021/8259817 fatcat:igfhzmvvhfcjbbzc4t64tvub5u

Integration of Blockchain and Edge Computing in Internet of Things: A Survey [article]

He Xue
2022 arXiv   pre-print
The integration of blockchain and edge computing can further improve the resource utilization in terms of network, computing, storage, and security.  ...  This paper aims to present a survey on the integration of blockchain and edge computing. In particular, we first give an overview of blockchain and edge computing.  ...  Proposing a blockchain and MEC-enabled transcoding framework with an ADMM algorithm-based optimal resource allocation solution.  ... 
arXiv:2205.13160v1 fatcat:xwtdefh7pbhp7icrgqybw3dd2y

Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges [article]

Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia Dobre, Albert Y. Zomaya
2022 arXiv   pre-print
The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in wireless Internet-of-Things networks, by enabling task offloading with security enhancement  ...  To fill this gap, we propose a novel cooperative task offloading and blockchain mining (TOBM) scheme for a blockchain-based MEC system, where each edge device not only handles computation tasks but also  ...  Thus, it is important to jointly consider incentives, offloading and mining in B-MEC system optimization.  ... 
arXiv:2206.09009v1 fatcat:heoolynzk5ddrlsxceh5zn3yfe

Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach [article]

Dinh C Nguyen, Pubudu N Pathirana, Ming Ding, Aruna Seneviratne
2019 arXiv   pre-print
In particular, a blockchain network is deployed and hosted on the MEC platform as Blockchain as a Service (BaaS) that supports smart contract-based resource trading and transaction mining services for  ...  To enhance the performance of the blockchain-empowered MEC system, we propose a joint scheme of computation offloading and blockchain mining.  ...  Accordingly, the user selection and resource allocation should be jointly considered.  ... 
arXiv:2001.08165v1 fatcat:qcdnfs67fvd3hovszrkei34ada

Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning [article]

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 arXiv   pre-print
A multi-objective function is then formulated to maximize the system utility of the blockchain-based MEC system, by jointly optimizing offloading decision, channel selection, transmit power allocation,  ...  and computational resource allocation.  ...  The study in [27] optimized the edge computation offloading and resource allocation via a double-dueling deep Q network.  ... 
arXiv:2109.14263v1 fatcat:cwcfk7a3vrfglerghw5wie4emy

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

Yao Du, Zehua Wang, Victor C. M. Leung
2021 Future Internet  
We review how blockchain-enabled edge intelligence works in the IoT domain, identify the emerging trends, and suggest open issues for further research.  ...  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  ...  Acknowledgments: We thank the editor and reviewers for their constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13020048 fatcat:2j6xvdr5hrckxeb5aku2zjzuba

Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions [article]

Komeil Moghaddasi, Shakiba Rajabi
2024 arXiv   pre-print
With the rapid growth of Internet of Things (IoT) applications, there's a big demand for more processing power and resources in devices.  ...  It also compares the offloading methods in each group and ends with a discussion and comparison of the different techniques, tools, and metrics used in these methods.  ...  Given the competition for resources among the non-mining devices, they formulated the problem of allocation of resources in a collaborative mining network as a double auction game, in which Bayes-Nash  ... 
arXiv:2403.05961v1 fatcat:o6btohbd65hbldhz74vx46hkym

Secure Computation Offloading in Blockchain based IoT Networks with Deep Reinforcement Learning [article]

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021 arXiv   pre-print
Then, to tackle the computation management of authorized MDs, we formulate a computation offloading problem by jointly optimizing the offloading decisions, the allocation of computing resource and radio  ...  In this paper, we investigate simultaneously the security and computation offloading problems in a multi-user MECCO system with blockchain.  ...  The study in [19] proposed a blockchainbased MEC model for future wireless networks, where computation offloading and resource allocation are jointly optimized with respect to spectrum allocation, block  ... 
arXiv:1908.07466v2 fatcat:n753qigyendlncwxyo4rzxvhjq

Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing [article]

Langtian Qin, Hancheng Lu, Yuang Chen, Zhuojia Gu, Dan Zhao, Feng Wu
2023 arXiv   pre-print
To achieve efficient and reliable resource utilization with user-centric services, we propose an energy efficient blockchain-enabled UC-MEC system where blockchain operations and resource optimization  ...  APs clustering, computing resource allocation and bandwidth allocation are jointly considered.  ...  These two issues are coupled with APs clustering decision and resource allocation in blockchain-enabled UC-MEC systems, which are more challenging than that in traditional blockchainenabled MEC systems  ... 
arXiv:2302.10515v1 fatcat:wyn2klsqjndbnfebzt2hnbhc7e

UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review

Yassine Yazid, Imad Ez-Zazi, Antonio Guerrero-González, Ahmed El Oualkadi, Mounir Arioua
2021 Drones  
This paper provides a comprehensive review of the most relevant research works related to UAV technology applications in terms of enabled or assisted MEC architectures.  ...  It details the utility of UAV-enabled MEC architecture regarding emerging IoT applications and the role of both deep learning (DL) and machine learning (ML) in meeting various limitations related to latency  ...  Resource allocation: Due to UAV battery concerns and trajectory constraints, resource allocation is critical in UAV-enabled MEC networks.  ... 
doi:10.3390/drones5040148 fatcat:ypovd7expfbypfv7juuq5nropq

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  ...  computation offloading decisions as well as resource allocation strategies.  ...  management for blockchain in fog-enabled IoT networks," present a distributed matching mechanism to maximize the social welfare of resource-restricted fog nodes while guaranteeing various mining requirements  ... 
doi:10.1109/jiot.2021.3050050 fatcat:rux57gjppjdqla556myxnvp4ve

Intelligent resource allocation in mobile blockchain for privacy and security transactions: a deep reinforcement learning based approach

Zhaolong Ning, Shouming Sun, Xiaojie Wang, Lei Guo, Guoyin Wang, Xinbo Gao, Ricky Y. K. Kwok
2021 Science China Information Sciences  
In order to protect the privacy and data security of mobile devices during the transactions in the industrial Internet of Things (IIoT), we propose a mobile edge computing (MEC)-based mobile blockchain  ...  First, we formulate a joint bandwidth and computing resource allocation problem to maximize the long-term utility of all mobile devices, and take into account the mobility of devices as well as the blockchain  ...  In our framework, the resource allocation decisions are made in a dedicated controller which is integrated with all SBSs.  ... 
doi:10.1007/s11432-020-3125-y fatcat:djs7vowuzrezro6xhk33lfhfle

Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning [article]

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2019 arXiv   pre-print
We first propose a reinforcement learning (RL)-based offloading scheme which enables MUs to make optimal offloading decisions based on blockchain transaction states and wireless channel qualities between  ...  To meet this challenge, we propose a mobile edge computing (MEC) based blockchain network where multi-mobile users (MUs) act as miners to offload their mining tasks to a nearby MEC server via wireless  ...  Problem Formulation In this section, we formulate the mining task offloading and edge resource allocation as a joint optimization problem.  ... 
arXiv:1908.07467v1 fatcat:gwp3l7idqrflfpyrly22ukaita

Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things

Lei Yang, Xu Chen, Samir M. Perlaza, Junshan Zhang
2020 IEEE Internet of Things Journal  
In the article "Resource optimization for delay-tolerant data in blockchain-enabled IoT with edge computing: A deep reinforcement learning approach," Li et al. proposed a joint optimization framework about  ...  In the article "DAER: A resource preallocation algorithm of edge computing server by using blockchain in intelligent driving," Xiao et al. studied the problems of the network economy and resource allocation  ... 
doi:10.1109/jiot.2020.3019948 fatcat:mogalqnhnnaqpbxb7zivzdhvry

Blockchain-Empowered Mobile Edge Intelligence, Machine Learning and Secure Data Sharing [chapter]

Yao Du, Shuxiao Miao, Zitian Tong, Victoria Lemieux, Zehua Wang
2021 Blockchain Potential in AI [Working Title]  
To realize AI at the edge of the network, IoT devices can offload training tasks to MEC servers.  ...  To handle these problems, blockchain has been considered as a promising solution. As a distributed smart ledger, blockchain is renowned for high scalability, privacy-preserving, and decentralization.  ...  In [3] , authors discussed the privacy issues in MEC-enabled blockchain networks. Data processing and mining tasks were offloaded to nearby servers.  ... 
doi:10.5772/intechopen.96618 fatcat:tjon4elghrcq5e5lfsfmyx2srm
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