A Blockchain Dynamic Sharding Scheme Based on Hidden Markov Model in Collaborative IoT

Sharded blockchain offers scalability, decentralization, immutability, and linear improvement, making it a promising solution for addressing the trust problem in large-scale collaborative IoT. However, a high proportion of cross-shard transactions can severely limit the performance of decentralized...

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Bibliographic Details
Published in:IEEE internet of things journal 2023-08, Vol.10 (16), p.1-1
Main Authors: Xi, Jinwen, Xu, Guosheng, Zou, Shihong, Lu, Yueming, Li, Guoqiang, Xu, Jiuyun, Wang, Ruisheng
Format: Article
Language:English
Subjects:
Blockchain
Blockchain Sharding
Blockchains
Collaboration
Cryptography
Dynamic Incremental Updating
Hidden Markov Model
Hidden Markov models
Internet of Things
IoT Collaborative Sensing
Markov chains
Performance evaluation
Sensors
Sharding
Throughput
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Summary:Sharded blockchain offers scalability, decentralization, immutability, and linear improvement, making it a promising solution for addressing the trust problem in large-scale collaborative IoT. However, a high proportion of cross-shard transactions can severely limit the performance of decentralized blockchain. Furthermore, the dynamic assemblage characteristic of collaborative sensing in sharded blockchain is often ignored. To overcome these limitations, we propose HMMDShard, a dynamic blockchain sharding scheme based on the Hidden Markov Model. HMMDShard leverages fine-grained blockchain sharding and fully embraces the dynamic assemblage characteristic of IoT collaborative sensing. By integrating the Hidden Markov Model, we achieve adaptive dynamic incremental updating of blockchain shards, effectively reducing cross-shard transactions across all shards. We conduct a comprehensive analysis of the security issues and properties of HMMDShard, and evaluate its performance through the implementation of a system prototype. The results demonstrate that HMMDShard significantly reduces the proportion of cross-shard transactions and outperforms other baselines in terms of system throughput and transaction confirmation latency.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3294234