# Smart IoMT Framework for Supporting UAV Systems with AI
## 2 Literature Review
They assessed the blockchain-based system for exchanging medical data. It offers a dispersed network and assures users of authentication, security, privacy, and integrity. It was also proven that the suggested approach protects the users' shared medical data's privacy and security. To link up the two contributing stations, [PERSON] et al. developed a cooperative UAV-based wireless network in [16]. The suggested solution offers on-demand communication capabilities to link the two base stations via an IEEE 802.11a/b/g/n access point (AP) placed on the UAV. In terms of the data rate, 802.11n at 2.4 GHz surpasses the other IEEE protocols, followed by 802.11n at 5 GHz, according to observations from the testing for online of vision indoors. They also concluded that 802.11n is the better protocol that may be used in emergency scenarios such as rescue efforts and medical applications. [PERSON] et al. [17] propose a UAV-based network topology as well as an energy-efficient methodology to deploy IoT solutions to bring services closer to those who live in rural regions. To get around the drawbacks of running the whole IoT program, IoT applications are specifically divided into microservices and distributed into a subset of UAVs. The proportion of IoT request that is provided to users in the assessment region and the reduction in the energy consumption needed by UAVs are two metrics that demonstrate the efficacy of the suggested solution. The study in [18] by [PERSON] et al. takes into account an ad-hoc network of flying UAVs, which improves communication between distant places and facilitates data transfer. The major goal of this study is to increase data transmission performance when there is a large distance between the mobile(hospital) and the vehicular(ambulance) nodes when the vehicular node is immobile due to traffic or natural disasters. The scenarios have been examined based on a variety of parameters, including the packet conveyance ratio, throughput, and delay, to analyze performance. By promoting interoperability in rural locations. [PERSON] et al. [19] seek to improve the quality of present health care. Unmanned aerial vehicles can adopt a secure network such as Thread to accomplish this (UAV). Although this is specifically intended to increase interoperability in remote areas without the internet, another significant benefit of this study is that it aids in the collection of medical data that can be used for big data analysis and innovative community solutions that will usher in a revolution in healthcare. Additionally, this lessens the need for paper patient records, which cannot be kept for a long time or made accessible anywhere. The use of UAVs for interior sanitation during a pandemic was discussed by [PERSON] et al. [20]. According to research and prior studies, liquid sanitation is not advised; therefore, the utilization of UVC light has indeed been suggested. The prototype was capable of holding and moving a two-kilogram weight that might be utilized to move medical supplies such as medical kits, medicines, or even vaccines in an installed emergency case. [PERSON] et al. [21] examined the offloading of health data from wireless terminals (WTs) used by residents of rural areas, such as user cellphones, IoT devices, vital monitoring, and other devices, using unmanned aerial vehicles (UAVs). This issue may be resolved by creating a randomization energy-efficient route selection method and then optimizing it with a greedy heuristic. To deliver a significantly better solution with a quick execution time as compared to commercialized optimization solutions for big situations, they next developed a genetic algorithm-based approach. [PERSON] et al. in [22] devised a wire-free sensor network (WSN) to monitor vital signs. In this application, Spartan3 is used to process data by utilizing an FPGA architecture in parallel. The MCU's findings are shown on an LCD, and all sensors are connected to an MCU. Regardless, not all machine components are integrated into a single unit. [PERSON] et al.