With the increase of the number of wireless sensing or metering devices, the collection of sensing data using wireless communication becomes an important part of a smart grid system. Cognitive radio technology can be used to facilitate the deployment of smart grid systems. In this paper, we propose a data collection and dissemination framework for cognitive radio smart grid systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity. In this way, the data collection and dissemination can be performed with a high reliability and short delay while avoiding a harmful effect on primary users. We use computer simulations to evaluate the proposed framework.
Celimuge WU
Graduate School of Information Systems, The University of Electro-Communications
Satoshi OHZAHATA
Graduate School of Information Systems, The University of Electro-Communications
Yusheng JI
National Institute of Informatics
Toshihiko KATO
Graduate School of Information Systems, The University of Electro-Communications
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Celimuge WU, Satoshi OHZAHATA, Yusheng JI, Toshihiko KATO, "A Distributed Dynamic Channel Assignment and Routing Framework for Cognitive Sensor Systems" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 10, pp. 2613-2622, October 2014, doi: 10.1587/transinf.2013THP0012.
Abstract: With the increase of the number of wireless sensing or metering devices, the collection of sensing data using wireless communication becomes an important part of a smart grid system. Cognitive radio technology can be used to facilitate the deployment of smart grid systems. In this paper, we propose a data collection and dissemination framework for cognitive radio smart grid systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity. In this way, the data collection and dissemination can be performed with a high reliability and short delay while avoiding a harmful effect on primary users. We use computer simulations to evaluate the proposed framework.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2013THP0012/_p
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@ARTICLE{e97-d_10_2613,
author={Celimuge WU, Satoshi OHZAHATA, Yusheng JI, Toshihiko KATO, },
journal={IEICE TRANSACTIONS on Information},
title={A Distributed Dynamic Channel Assignment and Routing Framework for Cognitive Sensor Systems},
year={2014},
volume={E97-D},
number={10},
pages={2613-2622},
abstract={With the increase of the number of wireless sensing or metering devices, the collection of sensing data using wireless communication becomes an important part of a smart grid system. Cognitive radio technology can be used to facilitate the deployment of smart grid systems. In this paper, we propose a data collection and dissemination framework for cognitive radio smart grid systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity. In this way, the data collection and dissemination can be performed with a high reliability and short delay while avoiding a harmful effect on primary users. We use computer simulations to evaluate the proposed framework.},
keywords={},
doi={10.1587/transinf.2013THP0012},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - A Distributed Dynamic Channel Assignment and Routing Framework for Cognitive Sensor Systems
T2 - IEICE TRANSACTIONS on Information
SP - 2613
EP - 2622
AU - Celimuge WU
AU - Satoshi OHZAHATA
AU - Yusheng JI
AU - Toshihiko KATO
PY - 2014
DO - 10.1587/transinf.2013THP0012
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2014
AB - With the increase of the number of wireless sensing or metering devices, the collection of sensing data using wireless communication becomes an important part of a smart grid system. Cognitive radio technology can be used to facilitate the deployment of smart grid systems. In this paper, we propose a data collection and dissemination framework for cognitive radio smart grid systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel. In the proposed framework, each sensor node selects a channel considering the primary user (PU) channel utilization and network connectivity. In this way, the data collection and dissemination can be performed with a high reliability and short delay while avoiding a harmful effect on primary users. We use computer simulations to evaluate the proposed framework.
ER -