Earticle

초록

영어

Home Network System (HNS) is comprised of networked home appliances and sensors to provide value-added and more powerful services. In order to build high- level HNS service by integrating multiple appliances and sensors, our earlier study proposes a method to derive timing constraints context based on Sensor Service Framework (SSF, which deploys sensor devices as web services to achieve easy development of context-aware application). That method divides timing constraints into two types: the sequential timing constraint and the continuous timing constraint. A high-level context can be defined as conditions expression based on the above two types. Moreover, we present a timer service to implement timing constraints context within SSF, and demonstrate how a high-level context with timing constraint is registered and detected in a real home network system. However, to create high-level context with timing constraints, the developer needs to know the details about pre-existing context of HNS, and also needs the ability to analyze and implement complex logic to detect a high-level timing constraints context. This limitation impedes the efficient creation of high-level context in HNS. Therefore, we propose a method to collectively manage the information of a pre- existing context of HNS in this paper, by which the developer can create high-level timing constraints context more easily than before. As a case study, we implement Enter-Leave context and TV Left On context, and execute an evaluation to prove the effectiveness of this proposal.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1 Home Network System (HNS)
  2.2 Sensor Service Framework (SSF)
  2.3 Timing Constraints Context
 3. Research Goal and Approach
  3.1 Issues
  3.2 Key Idea
  3.3 ContextRegistry Service
  3.4 TimingContextSensor Service
 4. Case Study
  4.1 Automatic Light Service (Using Sequential Timing Constrains Context)
  4.2 TV LeftOn Notification Service (Using Continuous Timing Constrains Context)
 5. Evaluation
  5.1 Evaluation Method and Environment
  5.2 Evaluation Result
 6. Conclusions and Future Work
  6.1 Conclusions
  6.2 Future Work
 References

키워드

저자

• BenYan [ LuoYang Institute of Science and Technology No. 90 Wangcheng Dadao, Luolong District, Luoyang City, Henan Province, 471023, China ]
• Hua-Ping Yao [ LuoYang Institute of Science and Technology No. 90 Wangcheng Dadao, Luolong District, Luoyang City, Henan Province, 471023, China ]
• Masahide Nakamura [ Kobe University 1-1 Rokkoudait-cho, Nada-ku,Kobe,Hyoko 657-8501,Japan ]
• Shinsuke Matsumoto [ Kobe University 1-1 Rokkoudait-cho, Nada-ku,Kobe,Hyoko 657-8501,Japan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605