Abstract

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.

Highlights

  • Today, the importance of context information has increased and a lot of systems are already based on context data

  • We introduce a cost efficient Context Management Platform which is based on distributed Context Broker (CxB) architecture for enabling context aware system adaptation

  • In this paper we introduced the so called Smart Home Platform and listed the requirements to the Context Management Platform

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Summary

Introduction

The importance of context information has increased and a lot of systems are already based on context data. A user has the possibility to provide own sensor data face is the counterpart to the Provider Detection Interface in or offer own services for public use. A CxB sends a broadcast with its own address and waits for response Another issue is the implementation of a context subscription interface for enabling services. The service has to request or subscribe for the necessary context information With this data, a service is able to trigger an event based on the users adjustments.

Data transmission
Data Transmission
Finite state model
Bayesian network
Conclusions
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