Earticle

초록

영어

Multi-sensors data fusion takes center stage in wireless sensor network system for acquiring more precise information. The event information detected and reported by sensors is often not reliable to infer contexts. The study presents that the data are evaluated before the data fusion on all event information acquired is occurred in the aggregate. The evaluation of event information is to estimate if context inference is possible and to reduce the processes of unnecessary multi-sensors data fusion. The study shows the frequency of event occurrences and the average variation rates of the data reported by the sensors for evaluating event information as the evaluation criteria. As a result of evaluating event information based on the suggested evaluation criteria and processing data fusion selectively, unnecessary data fusion processes were reduced, the data processes for context inference were decreased, and eventually the efficiency of context inference was improved.

목차

Abstract
 1. Introduction
 2. Related Research
 3. Evaluating Event Information for Efficient Data Fusion
  3.1 Evaluating event information
  3.2 Purposes to evaluate event information
  3.3 Evaluation criteria for event information
  3.4 Evaluation procedure of event information
 4. Experiment procedure
 5. Conclusion
 References

키워드

저자

• Donghyok Suh [ Department of Multimedia Communication, Far East University ]
• Juhye Yook [ Professor, Department of Rehabilitation Technology, Korea Nazarene University ] Corresponding Author

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