Advances in Fuzzy-Based Internet of Medical Things (IoMT)

8An Intelligent IoT-Based Healthcare System Using Fuzzy Neural Networks

Chamandeep Kaur¹*, Mohammed Saleh Al Ansari², Vijay Kumar Dwivedi³ and D. Suganthi⁴

¹Department of Computer Science and IT, Jazan University, Jazan, Saudi Arabia

²College of Engineering, Department of Chemical Engineering, University of Bahrain, Bahrain

³Department of Mathematics, Vishwavidyalaya Engineering College, Ambikapur, District Surguja, Chhattisgarh, India

⁴Department of Computer Science, Saveetha College of Liberal Arts and Sciences, SIMATS, Thandalam, Chennai, India

Abstract

Twenty-four percent of all sectors’ energy use is in the residential sector. Intelligent sensors and smart appliances have sped up the development of energy management systems for private residences. Finding a happy medium between user convenience and energy efficiency is the goal. When calculating the efficiency of a smart house, heating, ventilation, and air conditioning (HVAC) systems may account for as much as 65% of total energy consumption. Research has shown that reducing energy usage is the major objective of combining a fuzzy logic system with other tactics. However, these strategies almost always compromise user experience. In this research, propose a fuzzy inference system (FIS) that takes humidity into account as another input to ensure that the thermostat settings are always optimal for user comfort. The temperature changes within the house as input to the proposed FIS in an effort to reduce energy use. As the ...