Joint Optimization of Energy Consumption and Network Latency in Blockchain-Enabled Fog Computing Networks
作者机构:School of Communications and Information EngineeringChongqing University of Posts and TelecommunicationsChongqing 400065China State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing 100876China School of Communication and Information EngineeringUniversity of SheffieldUnited Kingdom
出 版 物:《China Communications》 (中国通信(英文版))
年 卷 期:2024年第21卷第4期
页 面:104-119页
核心收录:
学科分类:0810[工学-信息与通信工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术]
基 金:supported in part by the National Natural Science Foundation of China(NSFC)under Grant 62371082 and 62001076 in part by the National Key R&D Program of China under Grant 2021YFB1714100 in part by the Natural Science Foundation of Chongqing under Grant CSTB2023NSCQ-MSX0726 and cstc2020jcyjmsxmX0878
主 题:blockchain energy consumption fog computing network Internet of Things latency
摘 要:Fog computing is considered as a solution to accommodate the emergence of booming requirements from a large variety of resource-limited Internet of Things(IoT)*** ensure the security of private data,in this paper,we introduce a blockchain-enabled three-layer device-fog-cloud heterogeneous network.A reputation model is proposed to update the credibility of the fog nodes(FN),which is used to select blockchain nodes(BN)from FNs to participate in the consensus *** to the Rivest-Shamir-Adleman(RSA)encryption algorithm applied to the blockchain system,FNs could verify the identity of the node through its public key to avoid malicious ***,to reduce the computation complexity of the consensus algorithms and the network overhead,we propose a dynamic offloading and resource allocation(DORA)algorithm and a reputation-based democratic byzantine fault tolerant(R-DBFT)algorithm to optimize the offloading decisions and decrease the number of BNs in the consensus algorithm while ensuring the network *** results demonstrate that the proposed algorithm could efficiently reduce the network overhead,and obtain a considerable performance improvement compared to the related algorithms in the previous literature.