A fast path-based approach to infer link loss rates by explicit estimation

Haibo Su; Wentao Chen; Yong Li; Shijun Lin; Li Su; Depeng Jin; Lieguang Zeng

doi:10.1117/12.804025

19 November 2008 A fast path-based approach to infer link loss rates by explicit estimation

Haibo Su, Wentao Chen, Yong Li, Shijun Lin, Li Su, Depeng Jin, Lieguang Zeng

Proceedings Volume 7137, Network Architectures, Management, and Applications VI; 713727 (2008) https://doi.org/10.1117/12.804025
Event: Asia-Pacific Optical Communications, 2008, Hangzhou, China

Abstract

To estimate the link loss rates using network tomography, this paper proposes a Fast Path-based Approach (FPA) by explicit estimation. Instead of inferring the link loss rates directly, we first infer the path loss rates from which we can easily derive the link loss rates. In addition, the path loss rates are inferred by a new estimator which is an explicit function of loss observations. The presented estimator is analytical and only requires simple arithmetic calculation. It is also proved to be consistent and have the same asymptotic variance as that of the maximum likelihood estimator (MLE). The simulation results show that the FPA can accurately estimate the link loss rates.

Citation Download Citation

Haibo Su, Wentao Chen, Yong Li, Shijun Lin, Li Su, Depeng Jin, and Lieguang Zeng "A fast path-based approach to infer link loss rates by explicit estimation", Proc. SPIE 7137, Network Architectures, Management, and Applications VI, 713727 (19 November 2008); https://doi.org/10.1117/12.804025

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available