@inbook{7c3b90ddf5854666bd0aa9b6fc1e0e93,
title = "Experimental results for the proposed DKF",
abstract = "Experimentally, the proposed DKF using the proposed multiplication method and the proposed fast polynomial filter was evaluated. The DKF introduced by Olfati was experimentally tested as well. The results show that the proposed DKF achieves up to 33% energy saving. The results show also that one node can run the Olfati's DKF for up to five neighbors only, but the proposed DKF can run for up to seven neighbors. This different in the nodes numbers is because of the memory limitation, as Olfati's DKF exchange the measurements and the covariance, but the proposed DKF exchange the estimation only. Moreover the proposed multiplication method saves memory as well.",
author = "Ahmed Abdelgawad and Magdy Bayoumi",
year = "2012",
doi = "10.1007/978-1-4614-1350-9_7",
language = "English",
isbn = "9781461413493",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "101--104",
booktitle = "Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks",
}