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

Authors :
Qi, Liuling
Tian, Junfeng
Chai, Mengjia
Cai, Hongyun
Source :
Journal of Supercomputing; Feb2024, Vol. 80 Issue 3, p3875-3901, 27p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09208542
Volume :
80
Issue :
3
Database :
Complementary Index
Journal :
Journal of Supercomputing
Publication Type :
Academic Journal
Accession number :
174953729
Full Text :
https://doi.org/10.1007/s11227-023-05610-8