Title
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
Recommended Citation
Meng, X., Xie, L., & Soh, Y. (2016). Send-on-delta data fusion for state estimation in wireless sensor networks. IEEE International Conference on Control and Automation, ICCA, 2016-July, 673-678. https://doi.org/10.1109/ICCA.2016.7505356