Send-on-delta data fusion for state estimation in wireless sensor networks

Document Type

Conference Proceeding

Publication Date

7-7-2016

Abstract

We present a centralized estimator for wireless sensor networks subject to communication costs. The target is to find an optimal send-on-delta threshold to trade-off between estimation performance and communication rate. The estimation performance is computed by using a Kalman filtering algorithm with data fusion. The average communication rate is calculated in an analytic form in terms of the threshold. We illustrate the results via a numerical example.

Publication Source (Journal or Book title)

IEEE International Conference on Control and Automation, ICCA

First Page

673

Last Page

678

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