An Efficient Energy-Management System With Iot Sensors for Autonomous Applications

The Internet of Things (IoT) is a rapidly growing technology that has the potential to revolutionize many industries. However, the energy consumption of IoT devices at the physical layer is a major challenge that needs to be addressed. This paper proposes a novel energy-efficient consumption model with cloud-based controllers for perception layer data acquisition and storage in IoT applications. In the methodology, mathematical representation of the non-optimized energy consumption of physical layer components was first developed before developing the optimized version. The mathematical models were then implemented in software using embedded C language, a hybrid of assembly, C and C++ languages. The developed software was implemented using ATMEGA 2560 as a target microcontroller with IoT sensors interfaced to it. The system was simulated using proteus professional software. Results show that the optimized algorithm developed brought 54.75% in improvement in energy consumption of physical layer components in IoT autonomous applications. Further study shall focus on the application of the models developed in this work in cloud-based applications where security is a concern