We proposed to apply compressed sensing to realize information sharing of link quality for wireless mesh networks (WMNs) with grid topology. In this paper, we extend the link quality sharing method to be applied for WMNs with arbitrary topology. For arbitrary topology WMNs, we introduce a link quality matrix and a matrix formula for compressed sensing. By employing a diffusion wavelets basis, the link quality matrix is converted to its sparse equivalent. Based on the sparse matrix, information sharing is achieved by compressed sensing. In addition, we propose compressed transmission for arbitrary topology WMNs, in which only the compressed link quality information is transmitted. Experiments and simulations clarify that the proposed methods can reduce the amount of data transmitted for information sharing and maintain the quality of the shared information.
Hiraku OKADA
Nagoya University
Shuhei SUZAKI
Nagoya University
Tatsuya KATO
Nagoya University
Kentaro KOBAYASHI
Nagoya University
Masaaki KATAYAMA
Nagoya University
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Hiraku OKADA, Shuhei SUZAKI, Tatsuya KATO, Kentaro KOBAYASHI, Masaaki KATAYAMA, "Link Quality Information Sharing by Compressed Sensing and Compressed Transmission for Arbitrary Topology Wireless Mesh Networks" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 3, pp. 456-464, March 2017, doi: 10.1587/transcom.2016EBP3122.
Abstract: We proposed to apply compressed sensing to realize information sharing of link quality for wireless mesh networks (WMNs) with grid topology. In this paper, we extend the link quality sharing method to be applied for WMNs with arbitrary topology. For arbitrary topology WMNs, we introduce a link quality matrix and a matrix formula for compressed sensing. By employing a diffusion wavelets basis, the link quality matrix is converted to its sparse equivalent. Based on the sparse matrix, information sharing is achieved by compressed sensing. In addition, we propose compressed transmission for arbitrary topology WMNs, in which only the compressed link quality information is transmitted. Experiments and simulations clarify that the proposed methods can reduce the amount of data transmitted for information sharing and maintain the quality of the shared information.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3122/_p
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@ARTICLE{e100-b_3_456,
author={Hiraku OKADA, Shuhei SUZAKI, Tatsuya KATO, Kentaro KOBAYASHI, Masaaki KATAYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Link Quality Information Sharing by Compressed Sensing and Compressed Transmission for Arbitrary Topology Wireless Mesh Networks},
year={2017},
volume={E100-B},
number={3},
pages={456-464},
abstract={We proposed to apply compressed sensing to realize information sharing of link quality for wireless mesh networks (WMNs) with grid topology. In this paper, we extend the link quality sharing method to be applied for WMNs with arbitrary topology. For arbitrary topology WMNs, we introduce a link quality matrix and a matrix formula for compressed sensing. By employing a diffusion wavelets basis, the link quality matrix is converted to its sparse equivalent. Based on the sparse matrix, information sharing is achieved by compressed sensing. In addition, we propose compressed transmission for arbitrary topology WMNs, in which only the compressed link quality information is transmitted. Experiments and simulations clarify that the proposed methods can reduce the amount of data transmitted for information sharing and maintain the quality of the shared information.},
keywords={},
doi={10.1587/transcom.2016EBP3122},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Link Quality Information Sharing by Compressed Sensing and Compressed Transmission for Arbitrary Topology Wireless Mesh Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 456
EP - 464
AU - Hiraku OKADA
AU - Shuhei SUZAKI
AU - Tatsuya KATO
AU - Kentaro KOBAYASHI
AU - Masaaki KATAYAMA
PY - 2017
DO - 10.1587/transcom.2016EBP3122
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2017
AB - We proposed to apply compressed sensing to realize information sharing of link quality for wireless mesh networks (WMNs) with grid topology. In this paper, we extend the link quality sharing method to be applied for WMNs with arbitrary topology. For arbitrary topology WMNs, we introduce a link quality matrix and a matrix formula for compressed sensing. By employing a diffusion wavelets basis, the link quality matrix is converted to its sparse equivalent. Based on the sparse matrix, information sharing is achieved by compressed sensing. In addition, we propose compressed transmission for arbitrary topology WMNs, in which only the compressed link quality information is transmitted. Experiments and simulations clarify that the proposed methods can reduce the amount of data transmitted for information sharing and maintain the quality of the shared information.
ER -