## 2 Literature Survey
The antennas were placed on the built model to measure the specific absorption rate for the head and hand. [PERSON] et al. [47] proposed a smart 5G IoT network based on ambient backscatter communication. The network is made up of two parts, a real-time data transmission system that uses ambient backscatter communication, and a real-time big data processing system that uses a mixture of shallow and deep neural networks. [PERSON] et al. [48] used previously neglected unmanned aerial vehicle (UAV) energy consumption parameters to determine the current state of available energy, and suggested a solution that more reliably estimates UAV operating airtime. The proposed model was tested in a test bed and a simulation setting; the results show that taking into account such explicit utilisation parameters improves airtime estimation significantly. [PERSON] et al. [49] proposed a framework that includes medical data being transferred through the Remote Human Health Care Model. A low-energy adaptive clustering model was used to build the data transmission model. [PERSON] et al. [50] compared the wavelet transform of output to potential wireless application framework specifications and proposed wavelet implementations in 5G waveform architecture guidance and approaches. [PERSON] et al. [51] discussed security and privacy, describing security issues that will be addressed by future technology. They state that the key test in the years to come will incorporate both basic determination of advancements to handle the many open issues and a push to pass these plans on to authentication structures and applications. By considering both the technical and standardization dimensions, they examine in depth the potential of 5 th Generation (5G) technology for the present IoT, and discuss the existing IoT networking environment as well as the key IoT 5G enablers. [PERSON] et al. [52] proposed an information model to record and utilize IoT information, and discussed use cases emerging across China and different nations and areas in connection with the COVID-19 pandemic. Theirpaper provides insight into the flow of examining inclines as well as some future research bearings. [PERSON] et al. [53] proposed a wireless sensor network for use in their research scenario, and described how such a network can manage the battery for increased lifetime as well as how cluster head cells are activated for data aggregation and network efficiency enhancement using the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol. [PERSON] et al. [54] discussed the LEACH protocol and a modification of the LEACH protocol to provide efficient use of power, resulting in improved network efficiency at a good ratio. [PERSON] et al. [55] proposed an enhanced version of the LEACH protocol so that the network can be used for different applications. With the use of the clustering head technique and with the help of a single cluster head, network performance can be improved. [PERSON] et al. [56] proposed an IoT architecture in which different IoT devices can sense data and aggregate it for different environments. [PERSON] et al. [57] discussed smart cloud use in the IoT network to increase data storage capacity; for training using this method, they relied on a sensor-based cloud system. [PERSON] et al. [58] discussed a survey on patient physical healthcare monitoring and authentication protocols designed for the WBAN environment. Although this was an efficient scheme for employing lightweight operations, the paper reveals some security loopholes. This framework was limited to security features, not energy efficiency. [PERSON] et al. [59] highlighted the ways in which data storage generated by many sensor nodes represents the biggest challenge in the IoT network. They described an efficient computing technique that reduces power consumption and increases the storage capacity of the network. [PERSON] et al. [60] discussed malicious IoT nodes and the effect these have on future IoT networks.