Minimum Energy Information Fusion in Sensor Networks
adap-org
2007-05-23 v1 Adaptation and Self-Organizing Systems
Abstract
In this paper we consider how to organize the sharing of information in a distributed network of sensors and data processors so as to provide explanations for sensor readings with minimal expenditure of energy. We point out that the Minimum Description Length principle provides an approach to information fusion that is more naturally suited to energy minimization than traditional Bayesian approaches. In addition we show that for networks consisting of a large number of identical sensors Kohonen self-organization provides an exact solution to the problem of combining the sensor outputs into minimal description length explanations.
Cite
@article{arxiv.adap-org/9906002,
title = {Minimum Energy Information Fusion in Sensor Networks},
author = {George Chapline},
journal= {arXiv preprint arXiv:adap-org/9906002},
year = {2007}
}
Comments
postscript, 8 pages. Paper 65 in Proceedings of The 2nd International Conference on Information Fusion