A blockchain-based framework for data quality in edge-computing-enabled crowdsensing

Jian An; Siyuan Wu; Xiaolin Gui; Xin He; Xuejun Zhang

doi:10.1007/s11704-022-2083-8

ScienceGate Book Chapters

JOURNAL ARTICLE

A blockchain-based framework for data quality in edge-computing-enabled crowdsensing

Jian An Siyuan Wu Xiaolin Gui Xin He Xuejun Zhang

Year: 2022 Journal: Frontiers of Computer Science Vol: 17 (4) Publisher: Higher Education Press

DOI: 10.1007/s11704-022-2083-8

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Crowdsensing Task (project management) Edge computing Enhanced Data Rates for GSM Evolution Process (computing) Blockchain Distributed computing Data quality Data mining Computer security Artificial intelligence

Metrics

Cited By

3.98

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

A blockchain-based framework for data quality in edge-computing-enabled crowdsensing

Metrics

Citation History

Topics

Related Documents

Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing

Blockchain framework for IoT data quality via edge computing

Mobile Edge Computing-Enabled Blockchain Framework—A Survey

Blockchain-enabled Edge Computing Framework for Hierarchic Cluster-based Federated Learning

Blockchain Enabled IoT Edge Computing