A system for energy savings in an ambient intelligence environment

Abstract

This work presents an Ambient Intelligence system that targets energy consumption awareness and savings. The system was deployed at the School of Science and Technology of the International Hellenic University and follows a three-layer approach. The first layer hosts devices (currently smart plugs, sensor boards and smart clampers) suited for the purpose. The second layer, namely the aWESoME middleware (a WEb Service MiddlewarE), resolves interoperability issues on the first layer, by universally exposing all actuator functions and sensor data through Web Services. Finally, a prototype application, named iDEALISM, has been developed to reside on the topmost layer. iDEALISM presents and manages all heterogeneous devices in the same place, enabling users to make comparisons, and take informed decisions on saving energy. © 2011 Springer-Verlag.