Location-Based Reliable Sharding in Blockchain-Enabled Fog Computing Networks

【Author】 Huang, Xiaoge; Yin, Hongbo; Wang, Yongsheng; Chen, Qianbin; Zhang, Jie

【Source】2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP

【影响因子】

【Abstract】With the explosive growth of the internet of things (IoT) devices, there are amount of data requirements and computing tasks. Fog computing network that could provide computing, caching and communication resources closer to IoT devices (ID) is considered as a potential solution to deal with the vast computing tasks. To improve the performance of the fog computing network while ensuring data security, blockchain technology is enabled and a location-based reliable sharding (LRS) algorithm is proposed, which jointly considers the optimal number of shards, the geographical location of fog nodes (FNs), and the number of nodes in each shard. Firstly, the reliable sharding result is based on the reputation values of FNs, which are related to the decision information and historical reputation value of FNs in the consensus process. Moreover, a reputation based PBFT consensus algorithm is adopted to accelerate the consensus process. Furthermore, the normalized entropy is used to estimate the proportion of malicious nodes and optimize the number of shards. Finally, simulation results show the effectiveness of the proposed scheme.

【Keywords】Blockchain; sharding; fog computing network; internet of things

【发表时间】2022

【收录时间】2023-06-05

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-雾计算