With the worldwide growth of IoT industry, the need for a strong security level for IoT networks has also increased, leading to blockchain-based IoT (BC-IoT) networks. While blockchain technology is leveraged to ensure data integrity in a distributed manner, Hyperledger Fabric (HLF) attracts attention with its distinctive strong point without requiring the power-consuming consensus protocol, that is, proof-of-work (PoW). However, even though such security concerns can be mitigated using HLF, the additional processing time spent in HLF may emerge as another issue because most IoT devices handle real-time and latency critical jobs. This problem still remains unresolved because of the absence of a HLF latency model and a parameter setup guideline to reducing the mean latency. In this paper, therefore, we develop a HLF latency model for HLF-based IoT networks based on probability distribution fitting, by which mean latency prediction is facilitated once probable configuration environments are determined, in terms of the block size, block-generation timeout, and transaction generation rate parameters. Furthermore, we conclude by analyzing the impacts of influential HLF parameters on the mean latency, in order to provide insights not only on optimizing the mean latency, but also on coping with long mean latency.

中文翻译：

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基于区块链的物联网（BC-IoT）网络的Hyperledger Fabric的延迟建模

随着物联网行业的全球增长，对物联网网络的强大安全级别的需求也日益增加，从而导致了基于区块链的物联网（BC-IoT）网络。尽管利用区块链技术以分布式方式确保数据完整性，但Hyperledger Fabric（HLF）凭借其独特的优势吸引了人们的注意，而无需使用耗能的共识协议，即工作量证明（PoW）。但是，即使使用HLF可以缓解此类安全问题，但由于大多数IoT设备处理实时和延迟关键的工作，在HLF中花费的额外处理时间可能会成为另一个问题。由于缺少HLF延迟模型和减少平均延迟的参数设置指南，此问题仍未解决。因此，在本文中，我们基于概率分布拟合为基于HLF的IoT网络开发了一个HLF延迟模型，通过该模型，一旦确定了可能的配置环境，就可以在块大小，块生成超时和事务生成速率参数方面促进延迟预测。此外，我们通过分析影响的HLF参数对平均等待时间的影响来得出结论，以便不仅提供关于优化平均等待时间的见解，而且还提供应对长期平均等待时间的见解。