Title :
The role of prediction algorithms in the MavHome smart home architecture
Author :
Das, Sajal K. ; Cook, Diane J. ; Battacharya, A. ; Heierman, Edwin O. ; Lin, Tze-Yun
Author_Institution :
Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
Abstract :
The goal of the MavHome project is to create a home that acts as a rational agent. The agent seeks to maximize inhabitant comfort and minimize operation cost. To achieve these goals, the agent must be able to predict the mobility patterns and device usages of the inhabitants. We introduce the MavHome project and its underlying architecture. The role of prediction algorithms within the architecture is discussed, and three prediction algorithms that are central to home operations are presented. We demonstrate the effectiveness of these algorithms on synthetic and/or actual smart home data.
Keywords :
home automation; home computing; prediction theory; software agents; MavHome smart home architecture; home automation; information theory; inhabitant interactions; intelligent agent; intelligent home environment; machine learning techniques; mobility patterns prediction; operation cost minimization; prediction algorithms; sequence matching algorithm; smart home data; Architecture; Artificial intelligence; Intelligent robots; Intelligent sensors; Mobile computing; Mobile robots; Multimedia databases; Prediction algorithms; Sensor arrays; Smart homes;
Journal_Title :
Wireless Communications, IEEE
DOI :
10.1109/MWC.2002.1160085
