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

7Improving the Efficiency of IoMT Using Fuzzy Logic Methods

K. Kiran Kumar¹*, S. Sivakumar², Pramoda Patro³ and RenuVij⁴

¹Chalapathi Institute of Technology, Mothadaka, Guntur, Andhra Pradesh, India

²Department of Electrical and Electronics Engineering, VelTech Rangarajan Dr Sagunthala R and D Institute of Science and Technology Avadi Chennai, Tamil Nadu, India

³Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, India

⁴University School of Business, Department of AIT-MBA, Chandigarh University, Mohali, India

Abstract

Among all industries, 20% are homes where home energy management systems have become more feasible with the introduction of smart appliances and clever sensors. When gauging the smart home’s efficacy, it is important to strike a balance between energy efficiency and resident convenience. Up to 60% of a typical home’s annual energy bill goes toward the operation of heating, ventilation, and air conditioning (HVAC) systems. Multiple studies have shown that reducing energy usage is the primary motivation for using fuzzy logic systems in conjunction with other methods. However, user convenience is typically compromised while using such methods. In this research, the fuzzy inference system (FIS) takes humidity into account both the current temperature and the user’s preferred setting to keep the thermostat at an optimal level. Furthermore, utilize the variation in interior room temperature as feedback for the suggested ...