Analysis of Density-Adaptive Spectrum Access for Cognitive Radio Sensor Networks

Lei ZHANG; Tiecheng SONG; Jing HU; Xu BAO

doi:10.1587/transcom.2015EBP3283

Analysis of Density-Adaptive Spectrum Access for Cognitive Radio Sensor Networks

Lei ZHANG, Tiecheng SONG, Jing HU, Xu BAO

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Cognitive radio sensor networks (CRSNs) with their dynamic spectrum access capability appear to be a promising solution to address the increasing challenge of spectrum crowding faced by the traditional WSN. In this paper, through maximizing the utility index of the CRSN, a node density-adaptive spectrum access strategy for sensor nodes is proposed that takes account of the node density in a certain event-driven region. For this purpose, considering the burst real-time data traffic, we analyze the energy efficiency (EE) and the packet failure rate (PFR) combining network disconnected rate (NDR) and packet loss rate (PLR) during the channel switching interval (CSI) for both underlay and interweave spectrum access schemes. Numerical results confirm the validity of our theoretical analyses and indicate that the adaptive node density threshold (ANDT) exists for underlay and interweave spectrum access scheme switching.

Publication: IEICE TRANSACTIONS on Communications Vol.E99-B No.5 pp.1101-1109

Publication Date: 2016/05/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2015EBP3283

Type of Manuscript: PAPER

Category: Network

Authors

Lei ZHANG
  Southeast University
Tiecheng SONG
  Southeast University
Jing HU
  Southeast University
Xu BAO
  Jiangsu University

Keyword

cognitive radio sensor networks, energy efficiency, spectrum access, adaptive node density threshold

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Lei ZHANG, Tiecheng SONG, Jing HU, Xu BAO, "Analysis of Density-Adaptive Spectrum Access for Cognitive Radio Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E99-B, no. 5, pp. 1101-1109, May 2016, doi: 10.1587/transcom.2015EBP3283.
Abstract: Cognitive radio sensor networks (CRSNs) with their dynamic spectrum access capability appear to be a promising solution to address the increasing challenge of spectrum crowding faced by the traditional WSN. In this paper, through maximizing the utility index of the CRSN, a node density-adaptive spectrum access strategy for sensor nodes is proposed that takes account of the node density in a certain event-driven region. For this purpose, considering the burst real-time data traffic, we analyze the energy efficiency (EE) and the packet failure rate (PFR) combining network disconnected rate (NDR) and packet loss rate (PLR) during the channel switching interval (CSI) for both underlay and interweave spectrum access schemes. Numerical results confirm the validity of our theoretical analyses and indicate that the adaptive node density threshold (ANDT) exists for underlay and interweave spectrum access scheme switching.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3283/_p

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@ARTICLE{e99-b_5_1101,
author={Lei ZHANG, Tiecheng SONG, Jing HU, Xu BAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Analysis of Density-Adaptive Spectrum Access for Cognitive Radio Sensor Networks},
year={2016},
volume={E99-B},
number={5},
pages={1101-1109},
abstract={Cognitive radio sensor networks (CRSNs) with their dynamic spectrum access capability appear to be a promising solution to address the increasing challenge of spectrum crowding faced by the traditional WSN. In this paper, through maximizing the utility index of the CRSN, a node density-adaptive spectrum access strategy for sensor nodes is proposed that takes account of the node density in a certain event-driven region. For this purpose, considering the burst real-time data traffic, we analyze the energy efficiency (EE) and the packet failure rate (PFR) combining network disconnected rate (NDR) and packet loss rate (PLR) during the channel switching interval (CSI) for both underlay and interweave spectrum access schemes. Numerical results confirm the validity of our theoretical analyses and indicate that the adaptive node density threshold (ANDT) exists for underlay and interweave spectrum access scheme switching.},
keywords={},
doi={10.1587/transcom.2015EBP3283},
ISSN={1745-1345},
month={May},}

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TY - JOUR
TI - Analysis of Density-Adaptive Spectrum Access for Cognitive Radio Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1101
EP - 1109
AU - Lei ZHANG
AU - Tiecheng SONG
AU - Jing HU
AU - Xu BAO
PY - 2016
DO - 10.1587/transcom.2015EBP3283
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2016
AB - Cognitive radio sensor networks (CRSNs) with their dynamic spectrum access capability appear to be a promising solution to address the increasing challenge of spectrum crowding faced by the traditional WSN. In this paper, through maximizing the utility index of the CRSN, a node density-adaptive spectrum access strategy for sensor nodes is proposed that takes account of the node density in a certain event-driven region. For this purpose, considering the burst real-time data traffic, we analyze the energy efficiency (EE) and the packet failure rate (PFR) combining network disconnected rate (NDR) and packet loss rate (PLR) during the channel switching interval (CSI) for both underlay and interweave spectrum access schemes. Numerical results confirm the validity of our theoretical analyses and indicate that the adaptive node density threshold (ANDT) exists for underlay and interweave spectrum access scheme switching.
ER -