A load balance optimization framework for sharded-blockchain enabled Internet of ThingsOA

作者：YANG Zhaoxin;YANG Ruizhe;LI Meng;YU Richard Fei;ZHANG Yanhua

作者单位：Faculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaSchool of Information Technology,Carleton University,Ottawa K1S 5B6,Canada

中文关键词：Internet of Things (IoT)blockchainshardingload balancedeep reinforce-ment learning ( DRL)

英文关键词：Internet of Things (IoT)blockchainshardingload balancedeep reinforce-ment learning ( DRL)

刊名：《高技术通讯（英文版）》 2022 (1)

相关项目：具有边缘缓存与计算特性的新型工业互联网关键方法研究

页码/页数：10-20,11

基金：Supported by the National Natural Science Foundation of China(No.61901011)and the Foundation of Beijing Municipal Commission of Edu-cation(No.KM202010005017,KM202110005021).

DOI：10.3772/j.issn.1006-6748.2022.01.002