Clock offset estimation in wireless sensor networks using robust M-estimation

Jaehan Lee; Jangsub Kim; Khalid Qaraqe; Erchin Serpedin

doi:10.1117/12.823690

7 January 2009 Clock offset estimation in wireless sensor networks using robust M-estimation

Jaehan Lee, Jangsub Kim, Khalid Qaraqe, Erchin Serpedin

Proceedings Volume 7297, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IV; 729726 (2009) https://doi.org/10.1117/12.823690
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IV, 2008, Constanta, Romania

Abstract

Clock synchronization plays a crucial role in Wireless Sensor Networks (WSNs). Assuming that there is no clock skew between sensor nodes, the Maximum Likelihood Estimate (MLE) of clock offset was derived by [1] for clock synchronization protocols assuming exponential random delays and a two-way message exchange mechanism as in TPSN (Timing-sync Protocol for Sensor Networks [2]) or NTP (Network Time Protocol). The MLE is appropriate for the case that the random delays in WSNs are exponentially distributed. However, the performance of the MLE is deteriorated considerably in the case that the underlying distribution is contaminated by or mixed with other distributions. Hence, a robust estimator is needed. In this paper, clock offset estimators based on the robust M-estimation method are proposed and it is shown that the proposed estimators present excellent performance in the mean squared error (MSE) sense under the condition that the underlying distribution is mixed with other distribution.

Citation Download Citation

Jaehan Lee, Jangsub Kim, Khalid Qaraqe, and Erchin Serpedin "Clock offset estimation in wireless sensor networks using robust M-estimation", Proc. SPIE 7297, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IV, 729726 (7 January 2009); https://doi.org/10.1117/12.823690

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