STFM: a blockchain sharding algorithm based on trust field model for heterogeneous Internet of Things

【Author】 Qi, Liuling; Tian, Junfeng; Chai, Mengjia; Cai, Hongyun

【Source】JOURNAL OF SUPERCOMPUTING

【影响因子】2.557

【Abstract】Compared with the traditional blockchain, blockchain sharding system has higher throughput and is more suitable for the Internet of Things (IoT) with massive data. The sharding algorithm determines how to divide nodes into different shards. However, the existing sharding algorithms ignore the resource requirements of a shard, the resource heterogeneity and the closeness of relationship between the IoT devices, which hinders the application of sharding technology in IoT. In order to solve this problem, we propose a blockchain sharding algorithm based on trust field model (STFM). Nodes can join the most suitable shard according to the shard requirements, the resources they owned and the closeness of relationship with leader of the shard. The experimental results show that the nodes in the shards formed by STFM have a closer relationship, and distribution of resource intensity and trust level between the shards is more balanced, which can effectively improve system throughput and security.

【Keywords】Blockchain; IoT; Resource heterogeneity; Trust field model; Sharding algorithm

【发表时间】2023 2023 SEP 7

【收录时间】2023-09-25

【文献类型】

【主题类别】

区块链技术-协同技术-边缘计算