Abstract
These days, the digital health care system has been gaining popularity due to the flexibility of health care services to patients. Based on the digital health care system, the ratio of health care applications has been growing progressively in practice. The Internet of Medical Things (IoMT) is the current emerging digital health care system that leverages the advanced features of wireless networks and cloud computing with different biomedical sensors. Due to the amalgamation of other technologies, IMoT can share data between different connecting nodes; therefore, security and resources cost is the biggest issue in the IMoT system. This study proposed the blockchain-enabled IMoT with cost, deadline, and security constraints. Due to multiple rules, the study formulates this problem as multi-objective combinatorial convex optimization. The objective of the study is to minimize latency and execution cost, which are tradeoffs and conflicting goals for the health care application in the IMoT system. The study devises the novel BECSAF (Blockchain-Enabled Cost-Efficient Scheduling Algorithm Framework), consisting of the following schemes: Smart-Contract-Scheme, Function Verification Pool, Task, and Function Sequencing, Resource Matching, Blockchain-Consensus-Scheme-Task-Scheduling. Simulation results show that BECSAF reduces the security risk by 33%, minimizes the latency by 52%, and minimizes the execution cost by 42% compared to existing studies in the IoMT system for the health care applications.