Cloud Computing Assisted Blockchain-Enabled Internet of Things

被引:50
|
作者
Qiu, Chao [1 ,2 ]
Yao, Haipeng [1 ]
Jiang, Chunxiao [3 ]
Guo, Song [4 ]
Xu, Fangmin [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[2] Tianjin Univ, Sch Comp Sci & Technol, Coll Intelligence & Comp, Tianjin 300354, Peoples R China
[3] Tsinghua Univ, Tsinghua Space Ctr, Beijing 100084, Peoples R China
[4] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
关键词
Internet of Things (IoT); blockchain; cloud mining; proof of work; dueling deep reinforcement learning; SECURITY; NETWORKING;
D O I
10.1109/TCC.2019.2930259
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, the term 'Internet of Things' (IoT) has garnered great attention. As a trusted, dependable, and decentralized approach, blockchain has already been used in IoT. However, the existing blockchain has a number of drawbacks that prevent it from being used as a generic platform for IoT. The nodes in IoT are heavily resource-limited, especially computing and networking resources. Unfortunately, they are necessary for the blockchain to solve complicated puzzles and propagate blocks. In this paper, we propose agent mining and cloud mining approaches to solve the above problem in the blockchain-enabled IoT. To be specific, miners act as mining agents for nodes in IoT, offload mining tasks to cloud computing servers, and use networking resources dynamically. Furthermore, in order to enhance the performance, the access selection of users, computing resources allocation, and networking resources allocation are formulated as a joint optimization problem. We then propose a dueling deep reinforcement learning approach to address this problem. Numerical results justify the effectiveness of our proposed scheme.
引用
收藏
页码:247 / 257
页数:11
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