@inproceedings{494ab6492eff48fc9ea0fb25942b04c3,
title = "Optimal distributed fusion for state estimation in multirate wireless sensor networks",
abstract = "This paper is concerned with the distributed fusion estimation problem for linear system observed by multirate sensors in the environment of wireless sensor networks (WSNs). Rates of the sampling, estimation, transmission in the WSNs are different. The distributed fusion estimation is composed of two stages. At the first stage, every sensor in the WSNs collects measurements of its own to generate a local estimation, then the local estimations from the neighboring sensors and the neighbour's neighbor sensors are further collected to form the fusion estimation at the second stage. The main result is that a distributed fusion estimation algorithm is presented which is simple and low energy consumption. The performance, namely, the effectiveness and the stability of the algorithm under multiple sensors, is analyzed. A numerical example is given to show the feasibility and effectiveness of the presented algorithm.",
keywords = "Kalman filter, distributed fusion, multirate multisensor, state estimation, wireless sensor networks",
author = "Lu Jiang and Liping Yan and Yuanqing Xia and Mengyin Fu",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260391",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4851--4856",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}