Distributed Estimation in Periodically Switching Sensor Networks
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper studies the distributed estimation problem of sensor networks, in which each node is periodically sensing and broadcasting in order.
A consensus estimation algorithm is applied, and a weight design approach is proposed.
The weights are designed based on an adjusting parameter and the nodes’ lengths of their shortest paths to the target node.
By introducing a (T+2)-partite graph of the time-varying networks over a time period [0,T] and studying the relationships between the product of the time-sequence estimation error system matrices and the sequences of edges in the (T+2)-partite graph, a sufficient condition in terms of the observer gain and the adjusting parameter for the stability of the estimation error system is proposed.
A simulation example is given to illustrate the results.
American Psychological Association (APA)
Jie, Niu& Zhang, Ya. 2018. Distributed Estimation in Periodically Switching Sensor Networks. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208691
Modern Language Association (MLA)
Jie, Niu& Zhang, Ya. Distributed Estimation in Periodically Switching Sensor Networks. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208691
American Medical Association (AMA)
Jie, Niu& Zhang, Ya. Distributed Estimation in Periodically Switching Sensor Networks. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208691
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208691