Details of Research Outputs

Status已发表Published
TitlePricing and Budget Allocation for IoT Blockchain with Edge Computing
Creator
Date Issued2022
Source PublicationIEEE Transactions on Cloud Computing
ISSN2168-7161
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.

KeywordBlockchain Blockchains Edge computing Edge computing Games Internet of things Internet of Things Security Servers Stackelberg game Task analysis
DOI10.1109/TCC.2022.3150766
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:001004238600037
Scopus ID2-s2.0-85124825882
Citation statistics
Cited Times:31[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9092
CollectionResearch 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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