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

Volume

9

Issue

6

fYear

2002

Firstpage

77

Lastpage

84

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;

fLanguage

English

Journal_Title

Wireless Communications, IEEE

Publisher

ieee

ISSN

1536-1284

Type

jour

DOI

10.1109/MWC.2002.1160085

Filename

1160085