Reliability analysis aims to assess the dependability and performance of a system over time, considering factors such as device failures, communication issues, and data integrity. By integrating taxonomy and reliability analysis, researchers can systematically analyze and enhance the reliability of IoT systems by addressing specific components and categories identified in the taxonomy. IoT based on its reliable applications is classified among various categories such as smart home devices, smart watches, electric vehicles with IoT capabilities, industrial, healthcare, agriculture, soil monitoring sensors, smart city infrastructure, environmental monitoring devices, and smart energy management devices. The need for a consistent taxonomy was one of the problems recognized and examined in this paper even though IoT management technology is developing. To examine the reliability analysis of IoT systems, we created a brand-new taxonomy for IoT gadgets that places a strong focus on administration. We have released a completely new IoT reliability RBD model analysis at different gateways and Round-Trip Time is to be analyzed. It features an aircraft for dependability. Our goal is to help administrators of networks, as well as designers, put processes in place that will analyze and enhance the reliability of IoT systems. To implement techniques to increase the IoT system's reliability, we may utilize the management capabilities to keep an eye on the devices. ChatGPT can act as the conversational interface for ISABELA. By integrating ChatGPT with ISABELA's functionality, users can have natural language conversations with ISABELA, making the interaction more intuitive and user-friendly. A use case study of ISABELA has enhanced the position of the CHATGPT system in the IoT system which increase the efficiency and reliability of IoT designs and networks.
With emerging networking technologies and micro electromechanical devices the world is full of opportunities to get connected and stay connected seamlessly. To facilitate this connectivity among every possible object in the world, Internet of things (IoT) has emerged. In this project we have made a hardware consists of a Micro-Controller, Pulse Measurement Sensor, and Body Temperature Sensor, Wi-Fi module, LCD and some interfacing module. So basically this hardware will take reading from the sensors and after processing that it will show the readings/measurement on LCD as well as on a server which is online. The major thing in this project is that one can monitor the patient at anywhere in the world with the use of internet, the doctor keep the track of your health and measurement of heart rate, blood pressure, etc. In this way you always be in touch with the Doctor, no matter where you are. Then if something happen apparently the message goes to the doctor before it becomes the emergency situation and also if a patient is hospitalized then patients would also be allowed to leave hospitals and clinics earlier, as professionals are enabled to monitor them from home.
In this paper a PID and ACO based wireless heating system is proposed. The heater node with temperature sensor senses the temperature of the room and compares it with set temperature for the system. The required temperature is set by RF remote control and the feedback signal generated by heater node generates the error signal to PID controller. The optimized value of K P , K I , K D are calculated by using ACO algorithm. The PID controller output data fed to the dimmer circuit to control the dimming level of heating system. In the proposed system upto 8.72% power can be saved in two hours with the experimental setup.
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