Neighborhood Kalman Estimation for Distributed Localization in Wireless Sensor Networks
Joint Authors
Wang, Xiaochu
Sun, Ting
Fan, Chunshi
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Accurate location information plays an important role in the performance of wireless sensor networks since many mission applications depend on it.
This paper proposes a fully distributed localization algorithm based on the concept of data fusion, allowing the full intranodes information including the correlations among estimates to take part in the algorithm.
By properly constructing and updating the estimates as well as the corresponding covariance matrices, the algorithm can fuse intranodes information to generate more accurate estimates on the sensor locations with a fast speed.
Finally, numerical simulations are given as examples to demonstrate the effectiveness of the algorithm.
American Psychological Association (APA)
Wang, Xiaochu& Sun, Ting& Fan, Chunshi. 2016. Neighborhood Kalman Estimation for Distributed Localization in Wireless Sensor Networks. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111882
Modern Language Association (MLA)
Wang, Xiaochu…[et al.]. Neighborhood Kalman Estimation for Distributed Localization in Wireless Sensor Networks. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111882
American Medical Association (AMA)
Wang, Xiaochu& Sun, Ting& Fan, Chunshi. Neighborhood Kalman Estimation for Distributed Localization in Wireless Sensor Networks. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111882
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111882