Title
The Best of Both Worlds: A General Architecture for Data Management in Blockchain-enabled Internet-of-Things
Abstract
The rapid proliferation of Internet-of-Things (IoT) devices has brought great challenges of data management, i.e., storing, retrieving and manipulating a large volume of IoT data. Conventional IoT systems rely on centralized architectures to manage IoT data, hence suffering from limited scalability, lack of transparency, and single point of failure issues. As such, we employ blockchain as a distributed ledger to support the decentralized approach of data management in IoT systems, where IoT data are stored in the deployed blockchain for further utilization, e.g., retrieve and audit. A general architecture combining blockchain and IoT systems is presented. Nevertheless, as the resource constraints of IoT devices may still exist during the process of data transmissions from IoT devices to the blockchain network, we propose a case study of a learning-assisted resource allocation method to support intelligent data management. The numerical results show that the proposed scheme achieves superior performance compared with baseline solutions.
Year
DOI
Venue
2020
10.1109/MNET.001.1900095
IEEE Network
Keywords
Field
DocType
Blockchain, Distributed databases, Sensors, Cloud computing, Computer architecture, Servers, Peer-to-peer computing
Single point of failure,Architecture,Computer science,Server,Computer network,Resource allocation,Distributed database,Data management,Cloud computing,Scalability,Distributed computing
Journal
Volume
Issue
ISSN
34
1
0890-8044
Citations 
PageRank 
References 
8
0.47
0
Authors
6
Name
Order
Citations
PageRank
Zehui Xiong158654.94
Yang Zhang231319.51
Nguyen Cong Luong380.47
Niyato Dusit49486547.06
Ping Wang54153216.93
Nadra Guizani680.47