Earticle

초록

영어

Dempster-Shafer Evidence Theory (DST) plays an important role in multi-sensor data fusion. In this paper, we propose weighting method based on event information sensor of aggregation for context awareness in wireless sensor networks. Context inference in wireless sensor networks has to use weighting method, and context inference based on sensor aggregation due to structure feature of wireless sensor network. We propose weight method based on event frequency of the sensor and the repetitive of event report sensor at the continuous time slot. The validity of reasoning through context inference in wireless sensor network can improve.

목차

Abstract
 1. Introduction
 2. Previous Works
 3. A Novel Weighting for Context Inference
  3.1 Calculation of Weight
 4. Experiment and Evaluation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Donghyok Suh [ Department of Multimedia Communication, Far East University, ]
• Chang-Keun Ryu [ Department of Electronics, Namseoul University, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605