A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology
- Author
- Joseph Szurley, Alexander Bertrand, Marc Moonen and Ingrid Moerman (UGent)
- Organization
- Abstract
- We envisage a wireless sensor network (WSN) where each node is tasked with estimating a set of node-specific desired signals that has been corrupted by additive noise. The nodes accomplish this estimation by means of the distributed adaptive node-specific estimation (DANSE) algorithm in a tree topology (T-DANSE). In this paper, we consider a network where there is at least one node with a large (virtually infinite) energy budget, which we select as the root node. We propose a modification to the signal flow of the T-DANSE algorithm where instead of each node having two-way signal communication, there is a single signal flow toward the root node of the tree topology which then broadcasts a single signal to all other nodes. We demonstrate that the modified algorithm is equivalent to the original T-DANSE algorithm in terms of the signal estimation performance, shifts a large part of the communication burden toward the high-power root node to reduce the energy consumption in the low-power nodes and reduces the input-output delay.
- Keywords
- Wireless sensor networks, IBCN, distributed estimation, tree topology
Downloads
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 255.94 KB
-
6269 i.pdf
- full text
- |
- open access
- |
- |
- 154.76 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5967746
- MLA
- Szurley, Joseph, et al. “A Modified Broadcast Strategy for Distributed Signal Estimation in a Wireless Sensor Network with a Tree Topology.” International Conference on Acoustics Speech and Signal Processing ICASSP, IEEE, 2014.
- APA
- Szurley, J., Bertrand, A., Moonen, M., & Moerman, I. (2014). A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology. International Conference on Acoustics Speech and Signal Processing ICASSP. Presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, ITALY.
- Chicago author-date
- Szurley, Joseph, Alexander Bertrand, Marc Moonen, and Ingrid Moerman. 2014. “A Modified Broadcast Strategy for Distributed Signal Estimation in a Wireless Sensor Network with a Tree Topology.” In International Conference on Acoustics Speech and Signal Processing ICASSP. IEEE.
- Chicago author-date (all authors)
- Szurley, Joseph, Alexander Bertrand, Marc Moonen, and Ingrid Moerman. 2014. “A Modified Broadcast Strategy for Distributed Signal Estimation in a Wireless Sensor Network with a Tree Topology.” In International Conference on Acoustics Speech and Signal Processing ICASSP. IEEE.
- Vancouver
- 1.Szurley J, Bertrand A, Moonen M, Moerman I. A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology. In: International Conference on Acoustics Speech and Signal Processing ICASSP. IEEE; 2014.
- IEEE
- [1]J. Szurley, A. Bertrand, M. Moonen, and I. Moerman, “A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology,” in International Conference on Acoustics Speech and Signal Processing ICASSP, Florence, ITALY, 2014.
@inproceedings{5967746,
abstract = {{We envisage a wireless sensor network (WSN) where each node is tasked with estimating a set of node-specific desired signals that has been corrupted by additive noise. The nodes accomplish this estimation by means of the distributed adaptive node-specific estimation (DANSE) algorithm in a tree topology (T-DANSE). In this paper, we consider a network where there is at least one node with a large (virtually infinite) energy budget, which we select as the root node. We propose a modification to the signal flow of the T-DANSE algorithm where instead of each node having two-way signal communication, there is a single signal flow toward the root node of the tree topology which then broadcasts a single signal to all other nodes. We demonstrate that the modified algorithm is equivalent to the original T-DANSE algorithm in terms of the signal estimation performance, shifts a large part of the communication burden toward the high-power root node to reduce the energy consumption in the low-power nodes and reduces the input-output delay.}},
author = {{Szurley, Joseph and Bertrand, Alexander and Moonen, Marc and Moerman, Ingrid}},
booktitle = {{International Conference on Acoustics Speech and Signal Processing ICASSP}},
isbn = {{9781479928934}},
issn = {{1520-6149}},
keywords = {{Wireless sensor networks,IBCN,distributed estimation,tree topology}},
language = {{eng}},
location = {{Florence, ITALY}},
pages = {{6}},
publisher = {{IEEE}},
title = {{A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology}},
year = {{2014}},
}