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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.6
- 수록면
- 890 - 900 (11page)
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초록· 키워드
오류제보하기
The Bayesian networks methods provide an efficient tool for performing information fusion and decision making under conditions of uncertainty. This paper proposes Bayes estimators for the system effectiveness in energy saving of the wireless sensor networks by use of the Bayesian method under the non-informative prior knowledge about means of active and sleep times based on time frames of sensor nodes in a wireless sensor network. And then, we conduct a case study on some Bayesian estimation models for the system energy saving effectiveness of a wireless sensor network, and evaluate and compare the performance of proposed Bayesian estimates of the system effectiveness in energy saving of the wireless sensor network. In the case study, we have recognized that the proposed Bayesian system energy saving effectiveness estimators are excellent to adapt in evaluation of energy efficiency using non-informative prior knowledge from previous experience with robustness according to given values of parameters.
목차
ABSTRACT
1. INTRODUCTION
2. BAYESIAN LIFETIMES FRAMEWORK FOR PARAMETERS OF SYSTEM ENERGY SAVING EFFECTIVENESS
3. NON-INFORMATIVE PRIOR KNOWLEDGE OF PARAMETERS OF SYSTEM ENERGY SAVING EFFECTIVENESS
4. BAYESIAN ESTIMATION PROCEDURE OF SYSTEM ENERGY SAVING EFFECTIVENESS UNDER NON-INFORMATIVE PRIOR KNOWLEDGE
5. SIMULATION STUDY OF THE PROPOSED BAYESIAN ESTIMATORS UNDER NON-INFORMATIVE PRIOR
6. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004438296