Data Reduction with Quantization Constraints for Decentralized Estimation in Wireless Sensor Networks
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The unknown vector estimation problem with bandwidth constrained wireless sensor network is considered.
In such networks, sensor nodes make distributed observations on the unknown vector and collaborate with a fusion center to generate a final estimate.
Due to power and communication bandwidth limitations, each sensor node must compress its data and transmit to the fusion center.
In this paper, both centralized and decentralized estimation frameworks are developed.
The closed-form solution for the centralized estimation framework is proposed.
The computational complexity of decentralized estimation problem is proven to be NP-hard and a Gauss-Seidel algorithm to search for an optimal solution is also proposed.
Simulation results show the good performance of the proposed algorithms.
American Psychological Association (APA)
Weng, Yang. 2014. Data Reduction with Quantization Constraints for Decentralized Estimation in Wireless Sensor Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509251
Modern Language Association (MLA)
Weng, Yang. Data Reduction with Quantization Constraints for Decentralized Estimation in Wireless Sensor Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-509251
American Medical Association (AMA)
Weng, Yang. Data Reduction with Quantization Constraints for Decentralized Estimation in Wireless Sensor Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509251