Clock synchronization between any two nodes in a Wireless Sensor Network (WSNs) is
generally accomplished through exchanging messages and adjusting clock offset and
skew parameters of each node’s clock. To cope with unknown network message delays,
the clock offset and skew estimation schemes have to be reliable and robust in order to
attain long-term synchronization and save energy.
A joint clock offset and skew estimation scheme is studied and developed based
on the Gaussian Mixture Kalman Particle Filter (GMKPF). The proposed estimation
scheme is shown to be a more flexible alternative than the Gaussian Maximum
Likelihood Estimator (GMLE) and the Exponential Maximum Likelihood Estimator
(EMLE), and to be a robust estimation scheme in the presence of non-Gaussian/nonexponential
random delays. This study also includes a sub optimal method called
Maximum Likelihood-like Estimator (MLLE) for Gaussian and exponential delays.
The computer simulations illustrate that the scheme based on GMKPF yields
better results in terms of Mean Square Error (MSE) relative to GMLE, EMLE, GMLLE,
and EMLLE, when the network delays are modeled as non-Gaussian/non-exponential
distributions or as a mixture of several distributions.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2010-08-8311 |
| Date | 2010 August 1900 |
| Creators | Saibua, Sawin |
| Contributors | Serpedin, Erchin |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | application/pdf |
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