Location Aware Resource Management in Smart Homes

Abstract-- The rapid advances in a wide range of wireless access technologies along with the efficient use of smart spaces have already set the stage for development of smart homes. Context-awareness is perhaps the most salient feature in these intelligent computing platforms. The "location" information of the users plays a vital role in defining this context. To extract the best performance and efficacy of such smart computing environments, one needs a scalable, technology-independent location service. In this paper we have developed a predictive framework for location-aware resource optimization in smart homes. The underlying compression mechanism helps in efficient learning of an inhabitant's movement (location) profiles in the symbolic domain. The concept of Asymptotic Equipartition Property (AEP) in information theory helps to predict the inhabitant's future location as well as most likely path-segments with good accuracy. Successful prediction helps in pro-act...

• Type: Conference
• Year: 2003
• Where: PERCOM
• Authors: Abhishek Roy, Soumya K. Das Bhaumik, Amiya Bhattacharya, Kalyan Basu, Diane J. Cook, Sajal K. Das
• Keywords: PERCOM 2003, Smart Computing Environments, Smart Homes, Typical Smart Home, Wireless Networks