원문정보
초록
영어
The recent ubiquitous/pervasive technologies allow general household appliances to be connected within the network at home which is named home network system (HNS, for short). The great advantage of HNS is that it provides more value-added and powerful services by integrating multiple appliances and various sensors. Especially, sensor applications in HNS become much more important technology to build a high-level HNS service. In our earlier study, we have proposed the sensor service framework (SSF, for short) in the home network system for developing context-aware service, which wraps various sensor devices by web services to achieve easy development of context-aware service. In the SSF, a context was defined by a condition over a single sensor, or multiple sensors that derived by logical or arithmetic operations. However, the contexts were limited to the ones that can be defined by current values of the sensors, and can not describe the timing constraint relation in context on using multiple sensor web servers such as “after opening the door for 2 seconds, passed the hall” or “setting on the sofa”, and hindered us from creating high-level timing constraints context.
In this paper, we propose a method for deriving the timing constraints context bases on the extended study of SSF. We first divide timing constraint in the context into two types: the sequential timing constraint and the continuous timing constraint. By using two types of timing constraint, the high-level context can be defined as conditions by using multiple sensors. After this, we also present a timer service to implement the timing constraints context within the SSF. We finally demonstrate how the high-level contexts with the timing constraints are registered and detected in a real home network system.
목차
1. Introduction
2. Preliminaries
2.1. Home Network System (HNS)
2.2. Sensor Service Framework (SSF)
2.3. Sensor Mash-up Platform (SMuP)
3. Research Goal and Approach
4. Proposed Method
4.1. Key Idea
4.2. Registration and Detection of Timing Constrains Context with Time Service
4.3. Registration and Detection Steps for Timing Constrains Context
5. Case Study
5.1. Implementation of Time Service
5.2. Case Study
6. Conclusions and Future Work
6.1. Conclusions
6.2. Future Work
Acknowledgements
References