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A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology

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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

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Citation

Please use this url to cite or link to this publication:

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. Print.
APA
Szurley, Joseph, 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), IEEE.
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. 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},
}

Web of Science
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