Link connectivity and coverage of underwater cognitive acoustic networks under spectrum constraint

Qiu WANG, Hong Ning DAI*, Chak Fong CHEANG, Hao WANG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number2839
JournalSensors (Switzerland)
Volume17
Issue number12
DOIs
Publication statusPublished - 7 Dec 2017
Externally publishedYes

Bibliographical note

Funding Information:
Acknowledgments: The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3, the National Natural Science Foundation of China under Grant No. 61672170 and the Science and Technology Planning Project of Guangdong Province under Grant No. 2017A050501035. The authors would like to express their appreciation for Gordon K.-T. Hon for his thoughtful discussions. The authors would also like to thank the anonymous reviewers for their constructive comments.

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Cognitive radio
  • Connectivity
  • Coverage
  • Spectrum availability
  • Underwater acoustic networks

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