Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint

Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent studies on underwater cognitive acoustic networks (UCANs) mainly focus on spe...

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Main Authors: Qiu Wang, Hong-Ning Dai, Chak Fong Cheang, Hao Wang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/12/2839
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spelling doaj-4814d97ca1ac4c4ea2877983106bfe672020-11-24T23:54:56ZengMDPI AGSensors1424-82202017-12-011712283910.3390/s17122839s17122839Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum ConstraintQiu Wang0Hong-Ning Dai1Chak Fong Cheang2Hao Wang3Faculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaNorwegian University of Science and Technology, 6009 Aalesund, NorwayExtensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent studies on underwater cognitive acoustic networks (UCANs) mainly focus on spectrum management or protocol design. Few efforts have addressed the quality-of-service (QoS) of UCANs. In UCANs, secondary users (SUs) have lower priority to use acoustic spectrum than primary users (PUs) with higher priority to access spectrum. As a result, the QoS of SUs is difficult to ensure in UCANs. This paper proposes an analytical model to investigate the link connectivity and the probability of coverage of SUs in UCANs. In particular, this model takes both topological connectivity and spectrum availability into account, though spectrum availability has been ignored in most recent studies. We conduct extensive simulations to evaluate the effectiveness and the accuracy of our proposed model. Simulation results show that our proposed model is quite accurate. Besides, our results also imply that the link connectivity and the probability of coverage of SUs heavily depend on both the underwater acoustic channel conditions and the activities of PUs.https://www.mdpi.com/1424-8220/17/12/2839connectivitycoverageunderwater acoustic networkscognitive radiospectrum availability
collection DOAJ
language English
format Article
sources DOAJ
author Qiu Wang
Hong-Ning Dai
Chak Fong Cheang
Hao Wang
spellingShingle Qiu Wang
Hong-Ning Dai
Chak Fong Cheang
Hao Wang
Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
Sensors
connectivity
coverage
underwater acoustic networks
cognitive radio
spectrum availability
author_facet Qiu Wang
Hong-Ning Dai
Chak Fong Cheang
Hao Wang
author_sort Qiu Wang
title Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
title_short Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
title_full Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
title_fullStr Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
title_full_unstemmed Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
title_sort link connectivity and coverage of underwater cognitive acoustic networks under spectrum constraint
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-12-01
description Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent studies on underwater cognitive acoustic networks (UCANs) mainly focus on spectrum management or protocol design. Few efforts have addressed the quality-of-service (QoS) of UCANs. In UCANs, secondary users (SUs) have lower priority to use acoustic spectrum than primary users (PUs) with higher priority to access spectrum. As a result, the QoS of SUs is difficult to ensure in UCANs. This paper proposes an analytical model to investigate the link connectivity and the probability of coverage of SUs in UCANs. In particular, this model takes both topological connectivity and spectrum availability into account, though spectrum availability has been ignored in most recent studies. We conduct extensive simulations to evaluate the effectiveness and the accuracy of our proposed model. Simulation results show that our proposed model is quite accurate. Besides, our results also imply that the link connectivity and the probability of coverage of SUs heavily depend on both the underwater acoustic channel conditions and the activities of PUs.
topic connectivity
coverage
underwater acoustic networks
cognitive radio
spectrum availability
url https://www.mdpi.com/1424-8220/17/12/2839
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AT chakfongcheang linkconnectivityandcoverageofunderwatercognitiveacousticnetworksunderspectrumconstraint
AT haowang linkconnectivityandcoverageofunderwatercognitiveacousticnetworksunderspectrumconstraint
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