# Internet of Things and Its Applications: A Comprehensive Survey
## 5 IoT Applications
### Industrial Applications  
Another important application of IoT technology is in the field of industrial business [135]. Several significant studies have been conducted on the use of IoT in this area. [PERSON] et al. [136] proposed a three-stage planning methodology to enhance the QoS through top-down choice-making procedures by utilizing the Markov decision method. The authors designed the scenario model and assessed the recommended approach by using MATLAB software. Several QoS factors, including the response period, end-to-end delay, accessibility, and bandwidth, were taken into consideration during the assessment process. The suggested resource planning method was evaluated, which helped to reduce the overall network latency. [PERSON] and [PERSON] [137] studied and developed a new approach for IoT Fog applications to answer and explain the Fog service implementation matter. This approach determines the ideal component among computational resources and IoT applications, such as the smart energy domain. The benefit of this research work consists of giving an autonomous understanding of energy profiles and enhancing the program strategy through the introduction of several computational resources. In another study conducted by [PERSON] et al. [138], a subject-based multi-level planning structure called CONCISE for industrial IoT applications is suggested. It offers a new prototype to supervise and gather data through Time Synchronized Channel Hop-Ping (TSCH) planning. The obtained findings demonstrate a reduction of the network traffic congestion, enhancement of the communication reliability, and minimization in the end-to-end latency. [PERSON] et al. [139] suggested a novel approach to facilitate the use of the Personal Area Network (PAN) for an analysis of the IEEE 802.15.4-2015 MAC layer for beacon and non-beacon network communication. In this approach, a Markov chain-based mathematical model is designed for the node's power feeding, reliability, and lag in packet transmission. The benefit is that the overall network operating efficiency is enhanced. [PERSON] et al. [140] suggested an energy-efficient robust Tunnel Field-Effect Transistor Static Random Access Memory (TFET SRAM) cell for a wide variety of IoT applications. The recommended approach may be largely employed, such as in environmental sensing, health monitoring sensors, traffic control, and related managing and controlling systems. The proposed cell outcomes show that it achieves a higher margin value, decreased delay, lower energy consumption, energy per operation, and energy leakage reduction compared to the prior 9T TFET (7T FET) cells. [PERSON] et al. [141] focused on the health management system for industrial applications. It introduces the concept of prognostics and systems health management (PHM) with the following four main dimensions: Sensing; diagnosis; prognosis; and management. The study concluded that the PHM is likely to have a significant influence on the development, prediction, risk management, assessment, and creation of new business opportunities. [PERSON] et al. [142] discussed the idea of Industrial IoT