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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.19 No.4
- 발행연도
- 2017.1
- 수록면
- 383 - 391 (9page)
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In this paper, we investigate the impacts of network topology on the performance of a distributed estimation algorithm, namely combine- then-adaptive (CTA) diffusion LMS, based on the data with or without the assumptions of temporal and spatial independence with noisy links. The study covers different network models, including the regular, small-world, random and scale-free whose the performance is analyzed according to the mean stability, mean-square errors, communication cost (link density) and robustness. Simulation results show that the noisy links do not cause divergence in the networks. Also, among the networks, the scale free network (heterogeneous) has the best performance in the steady state of the mean square deviation (MSD) while the regular is the worst case. The robustness of the networks against the issues like node failure and noisier node conditions is discussed as well as providing some guidelines on the design of a network in real condition such that the qualities of estimations are optimized.
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참고문헌 (27)
참고문헌 신청
Barabási, A. L. / 1999 / Emergence of scaling in random networks / Science 286(15):509~512
Cattivelli, F. S. / 2010 / Diffusion LMS strategies for distributed estimation / IEEE Trans. Sign. Proc 58(3):1035~1048
Cattivelli, F. S. / 2008 / Diffusion recursive least-squares for distributed estimation over adaptive networks / IEEE Trans. Sign. Proc 56(5):1865~1877
Cattivelli, F. S. / 2008 / Diffusion strategies for distributed Kalman filtering: formulation and performance analysis / Proceeding of the Workshop on Cognitive Infrastructure Process
Erdös, P. / 1959 / On the evolution of random graphs / Pub. Math. Inst. Hung. Acad. Sci 5(1):17~60
Cattivelli, F. S. / 2010 / Diffusion LMS strategies for distributed estimation / IEEE Trans. Sign. Proc 58(3):1035~1048
Cattivelli, F. S. / 2008 / Diffusion recursive least-squares for distributed estimation over adaptive networks / IEEE Trans. Sign. Proc 56(5):1865~1877
Cattivelli, F. S. / 2008 / Diffusion strategies for distributed Kalman filtering: formulation and performance analysis / Proceeding of the Workshop on Cognitive Infrastructure Process
Erdös, P. / 1959 / On the evolution of random graphs / Pub. Math. Inst. Hung. Acad. Sci 5(1):17~60
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