The integration of Health IoT (H-IoT) and blockchain technologies are being heavily exploited and used in many domains, especially for e-healthcare to collect the data i.e electronic health record (EHR) from the patient. The H-IoT devices have the ability to provide real-time sensory data from patients to be processed and analyzed, and distributed. Blockchain is providing decentralized computation, distribution and storage for EHR data. Therefore, the integration of H-IoT and Blockchain technologies can become a reasonable choice for the design of decentralized H-IoT-based e-healthcare systems. But the H-IoT network has some intrinsic challenges like low computation, energy constraint, security, energy optimization, data storage, and real-time data analytic. Also, conventional EHR-based systems suffer from issues such as the potential loss of data, inadequate security and consensus on the unchangeable nature of health records, fragmented connections between different institutions, and ineffective clinical data retrieval methods, among other challenges. In this article, first, we study the performance of blockchain technology in the healthcare system. Second, we propose an improved Harris Hawk Optimization algorithm (HHO) based clustering mechanism for the collection and sharing of EHR. The proposed system was tested and validated using the Hyperledger-fabric based electronic healthcare record (EHR) sharing system along with Matlab. The proposed system achieves 12%, and 7% incremental improvement in terms of latency, throughput for the Blockchain networks. While the proposed clustering technique achieves 10%, 12%, 14%, and 16% improvements in alive node, energy consumption, throughput and average transmission delay compared to existing state of the art.

中文翻译：

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EBH-IoT：为基于云辅助区块链的医疗保健系统提供节能、安全的电子健康记录数据收集和分发


健康物联网 （H-IoT） 和区块链技术的集成在许多领域得到广泛开发和使用，尤其是用于电子医疗保健以收集数据，即患者的电子健康记录 （EHR）。H-IoT 设备能够提供来自患者的实时传感数据，以便进行处理、分析和分发。区块链为 EHR 数据提供去中心化的计算、分发和存储。因此，H-IoT 和区块链技术的集成可以成为基于 H-IoT 的去中心化电子医疗保健系统设计的合理选择。但 H-IoT 网络存在一些内在的挑战，例如低计算、能源限制、安全性、能源优化、数据存储和实时数据分析。此外，传统的基于 EHR 的系统还存在诸如数据可能丢失、安全性不足和对健康记录不可更改性质的共识、不同机构之间的碎片化联系以及无效的临床数据检索方法等挑战。在本文中，首先，我们研究了区块链技术在医疗保健系统中的性能。其次，我们提出了一种改进的基于 Harris Hawk 优化算法 （HHO） 的聚类机制，用于 EHR 的收集和共享。使用基于 Hyperledger-fabric 的电子医疗记录 （EHR） 共享系统和 Matlab 对拟议的系统进行了测试和验证。拟议的系统在区块链网络的延迟、吞吐量方面实现了 12% 和 7% 的增量改进。虽然与现有技术相比，所提出的集群技术在活动节点、能耗、吞吐量和平均传输延迟方面实现了 10%、12%、14% 和 16% 的改进。