14. Cognitive Acoustics: A Way to Extend the Lifetime of Underwater Acoustic Sensor Networks

  1. David Grace3 and
  2. Honggang Zhang4
  1. Lu Jin,
  2. Defeng (David) Huang,
  3. Lin Zou and
  4. Angela Ying Jun Zhang

Published Online: 24 JUL 2012

DOI: 10.1002/9781118360316.ch14

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation

How to Cite

Jin, L., Huang, D., Zou, L. and Zhang, A. Y. J. (2012) Cognitive Acoustics: A Way to Extend the Lifetime of Underwater Acoustic Sensor Networks, in Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (eds D. Grace and H. Zhang), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118360316.ch14

Editor Information

  1. 3

    Department of Electronics, University of York, UK

  2. 4

    Department of Information Science and Electronic Engineering, Zhejiang University, China

Author Information

  1. School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia

Publication History

  1. Published Online: 24 JUL 2012
  2. Published Print: 31 AUG 2012

ISBN Information

Print ISBN: 9781119951506

Online ISBN: 9781118360316

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Keywords:

  • cognitive acoustics, lifetime of underwater acoustic sensor networks;
  • cognitive acoustics, communication for sensing environments;
  • AUVs, in cognitive underwater acoustic communications;
  • routing mechanisms, model-free RL for learning underwater environments;
  • simulations and network topologies, performance with AODV;
  • cognitive acoustics, adaptive, for scientific missions/industrial tasks;
  • underwater acoustics not licensed, primary/secondary user distinction absent;
  • grey space in cognitive acoustics, whole band into multiple sub-bands;
  • RL in underwater acoustics, MDP and RL;
  • Q-Learning algorithm and routing, using AODV protocol

Summary

This chapter contains sections titled:

  • The Concept of Cognitive Acoustics

  • Underwater Acoustic Communication Channel

  • Some Distinct Features of Cognitive Acoustics

  • Fundamentals of Reinforcement Learning

  • An Application Scenario: Underwater Acoustic Sensor Networks

  • Numerical Results

  • Conclusion

  • Acknowledgements

  • References