Fuzzy Logic-based Power Management System for Self-Powered Green IoT Edge Devices

Abstract

The Internet of Things or IoT refers to the billions of devices that are connected to the Internet for intercommunication between each other, allowing Machine to Machine communication. As the IoT is capable of offering many convenient solutions, this paradigm is becoming so much popular creating a huge boom all around the world. Owing to the billions of devices that connect our daily life with the cyber-physical world, powering up these IoT solutions is becoming a big challenge, whereas self-powered IoT devices are becoming a viable solution in which researchers are currently working on. In this regard, many researchers have researched; to power up these IoT devices with renewable energy sources, where solar power is considered to be the key solution that is majorly accepted worldwide. However due to the cyclic variation of the receiving light intensity throughout the day and the unexpected interruptions due to weather conditions are becoming some of the major unresolved challenges pertained to these solar-powered IoT devices, where it requires a backup power source for solar-powered IoT devices with the need of continuous data harvesting throughout a long period of time. The environmental effects raised by removing batteries which is used as key the backup power source in IoT devices will become a major problem in the near future. Hence, in order to address this challenge and to offer a green solution that lowers the effects to the environment, we are presenting a fuzzy logic-based power management system in the context of Green IoT (GIoT). Key Terms: IoT, Internet of Things, Fuzzy Logic, Green IoT, Renewable Energy