A smart campus internet of things framework

Abstract

Smart cities and communities (S&CC) are experiencing transformational change across the nation and globally with the proliferation deployment of Internet of Things (IoT). Smart campus is an important part of S&CC. We built a smart campus IoT framework to address functionality, energy consumption, security and safety in a user-centric perspective. To achieve these, machine learning algorithms are employed in the hardware-software co-design process. During experiment, we focused on energy consumption management using support vector machine to learn the classroom schedule, so that the system can respond to dynamic change of the schedules. The experimental results show that our proposed framework can recognize the classroom regular events and irregular events with high accuracy.