Articles | Volume 10
Adv. Radio Sci., 10, 135–139, 2012
https://doi.org/10.5194/ars-10-135-2012
Adv. Radio Sci., 10, 135–139, 2012
https://doi.org/10.5194/ars-10-135-2012

  18 Sep 2012

18 Sep 2012

A context management system for a cost-efficient smart home platform

J. Schneider, A. Klein, C. Mannweiler, and H. D. Schotten J. Schneider et al.
  • University of Kaiserslautern, Paul-Ehrlich-Street, Building 11, Germany
  • Institute for Wireless Communications and Navigation

Abstract. This paper presents an overview of state-of-the-art architectures for integrating wireless sensor and actuators networks into the Future Internet. Furthermore, we will address advantages and disadvantages of the different architectures. With respect to these criteria, we develop a new architecture overcoming these weaknesses. Our system, called Smart Home Context Management System, will be used for intelligent home utilities, appliances, and electronics and includes physical, logical as well as network context sources within one concept. It considers important aspects and requirements of modern context management systems for smart X applications: plug and play as well as plug and trust capabilities, scalability, extensibility, security, and adaptability. As such, it is able to control roller blinds, heating systems as well as learn, for example, the user's taste w.r.t. to home entertainment (music, videos, etc.). Moreover, Smart Grid applications and Ambient Assisted Living (AAL) functions are applicable. With respect to AAL, we included an Emergency Handling function. It assures that emergency calls (police, ambulance or fire department) are processed appropriately. Our concept is based on a centralized Context Broker architecture, enhanced by a distributed Context Broker system. The goal of this concept is to develop a simple, low-priced, multi-functional, and save architecture affordable for everybody. Individual components of the architecture are well tested. Implementation and testing of the architecture as a whole is in progress.