원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.8 No1
2013.01
pp.91-100
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보