Status | 已发表Published |
Title | Pricing and Budget Allocation for IoT Blockchain with Edge Computing |
Creator | |
Date Issued | 2022 |
Source Publication | IEEE Transactions on Cloud Computing
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ISSN | 2168-7161 |
Abstract | Attracted by the inherent security and privacy protection of the blockchain, incorporating blockchain into Internet of Things (IoT) has been widely studied in these years. However, the mining process requires high computational power, which prevents IoT devices from directly participating in blockchain construction. For this reason, edge computing service is introduced to help build the IoT blockchain, where IoT devices could purchase computational resources from the edge servers. In this paper, we consider the case that IoT devices also have other tasks that need the help of edge servers, such as data analysis and data storage. In this scenario, IoT devices will allocate their limited budgets to purchase different resources from different edge servers, such that their profits can be maximized. Moreover, edge servers will set "best" prices such that they can get the biggest benefits. We model the interaction between edge servers and IoT devices as a multi-leader multi-follower Stackelberg game, whose objective is to reach the Stackelberg Equilibrium (SE). We prove the existence and uniqueness of the SE point, and design efficient algorithms to reach the SE point. In the end, we verify our model and algorithms by performing extensive simulations. |
Keyword | Blockchain Blockchains Edge computing Edge computing Games Internet of things Internet of Things Security Servers Stackelberg game Task analysis |
DOI | 10.1109/TCC.2022.3150766 |
URL | View source |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
WOS ID | WOS:001004238600037 |
Scopus ID | 2-s2.0-85124825882 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/9092 |
Collection | Research outside affiliated institution |
Affiliation | 1.Faculty of Information Technology, Beijing University of Technology, 12496 Beijing, Beijing, China 2.Advanced Institute of Natural Sciences, Beijing Normal University, 47836 Zhuhai, Guangdong, China 3.School of Information, Renmin University of China, 12471 Beijing, Beijing, China 4.Computer Science, The University of Texas at Dallas, 12335 Richardson, Texas, United States |
Recommended Citation GB/T 7714 | Ding, Xingjian,Guo, Jianxiong,Li, Deyinget al. Pricing and Budget Allocation for IoT Blockchain with Edge Computing[J]. IEEE Transactions on Cloud Computing, 2022. |
APA | Ding, Xingjian, Guo, Jianxiong, Li, Deying, & Wu, Weili. (2022). Pricing and Budget Allocation for IoT Blockchain with Edge Computing. IEEE Transactions on Cloud Computing. |
MLA | Ding, Xingjian,et al."Pricing and Budget Allocation for IoT Blockchain with Edge Computing". IEEE Transactions on Cloud Computing (2022). |
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