## 2 Background and Related Studies  
The fog computing-based IoMT is currently a popular topic. Previous research missed important security issues such as: 1. Healthcare IoMT devices send data to cloud servers that are frequently unencrypted and open to manipulation and attack. As a result, sensitive patient information will likely be accessible. This issue leads to security vulnerabilities. 2. To our knowledge, the need to identify IoMT medical devices, which leads to the verification and authentication of health data, is considered very important and sensitive, and it can be accomplished quickly using a blockchain in the FC-IoMT system. Moreover, servers at the network's edge should perform more detailed authentication and verification. BAKMP-IoMT, the new IoMT key agreement technique for blockchain-accessible authentication, was designed by [8]. It is also obtained theoretically from the algorithm's top time complexity and the number of patients. Researcher in a study [9] explored various design research topics on readers' 5G-enabled tactile internet fog computing. In the same way [10] thoroughly examined 5G-assisted smart health (Version 30 November 2021; Journal submitted to: not specified) of 14 care solutions in the IoT. R. Researchers in a study [11] proposed a multi-cloud cascade architecture, a low-overhead native testing framework, and a medical data storage backup method. This is also something that is examined by researchers [12] proposed a smart authentication (SSA) system to improve patient-physician data security and privacy preservation systems. Ref. [13] designed a node security identity authentication; providing a secure and reliable updating method for authentication keys and session keys. Ref. [14] proposed smart remote healthcare systems  
Figure 1: Application of fog computing. that require long working periods, low cost, network resilience, and confidence in highly dynamic network environments. Ref. [15] highlight the rising issues in IIoT information processing storage, querying, and dynamic data collecting. Researchers in a study [16] proposed a 69 case database and the current patient's privacy was protected regardless of whether the abstracts matched or not. The overall comparative analysis of different parameters for 5G-enabled IoMT communication such as IoMT application, scalability, security, sustainability, storage, and computing is presented in Table 1. Ethereum is a permissionless blockchain that has been widely used by various blockchain enthusiasts. Ethereum follows the standard principles and elements of a blockchain network. Similar to a84 blockchain, it uses the Proof of Work (PoW) consensus process to facilitate validation of blocks of the network by mining nodes before adding the blocks and their transactions into the blockchain. Ethereum can be utilized by connecting nodes to a blockchain with a unique chain-id. This allows all the nodes to participate within the blockchain activities and access blocks and/or transactions. Ethereum can also be implemented as a private blockchain for typical enterprise solutions that restrict access to their trusted assets and personnel [17]. A recent study conducted by [PERSON] et al. [18] reviewed the main challenges of fog computing and IOT. The study concluded the recent trends of IOT algorithms and the main challenges in fog computing, which works as a middle layer between data centers in the cloud and IOT networks. [PERSON] et al. [19] developed a new scheme that captures the most significant features of the DBMS environment, including relational, graph-based, key-value, tree-like, etc., query languages, platforms (servers), plus running environments (desktop, Web, cloud), and specific contexts--i.e., focusing on optimizing queries, redundancy, security, performance, as compared with other schema-less approaches, programming languages/paradigms, and others. [PERSON] et al. [20] focused on Quality of Service (QoS) in IOT utilization.