Distributed maximum likelihood estimation for sensor networks
- 28 September 2004
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (15206149), 929
- https://doi.org/10.1109/icassp.2004.1326698
Abstract
The problem of finding the maximum likelihood estimator of a commonly observed model, based on data collected by a sensor network under power and bandwidth constraints, is considered. In particular, a case where the sensors cannot fully share their data is treated. An iterative algorithm that relaxes the requirement of sharing all the data is given. The algorithm is based on a local Fisher scoring method and an iterative information sharing procedure. The case where the sensors share sub-optimal estimates is also analyzed. The asymptotic distribution of the estimates is derived and used to provide a means of discrimination between estimates that are associated with different local maxima of the log-likelihood function. The results are validated by a simulation.Keywords
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