Skip to main content

Physical Characterization of Acoustic Communication Channel Properties in Underwater Mobile Sensor Networks

  • Conference paper
Sensor Systems and Software (S-CUBE 2009)

Abstract

A methodology to predict underwater acoustic channel communication properties (capacity, bandwidth, range) from the environmental conditions in the ocean is proposed. The methodology is based on the use of acoustic propagation models coupled to a set of equations proposed firstly by Stojanovic [1]. A parametric study of channel characteristics as a function of changing environmental conditions is presented, showing in particular how channel range and/or source transmission power are influenced by the relative position of source and receiver with respect to the ocean temperature thermocline. This kind of results is crucial to adaptively configure the relative position of mobile nodes (typically AUVs – Autonomous Underwater Vehicles) in underwater sensor networks, with the final goal of mitigating the effects of environmental changes on the network communication capabilities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Stojanovic, M.: On the Relationship Between Capacity and Distance in an Underwater Acoustic Communication Channel. ACM SIGMOBILE Mobile Computing and Communications Review (MC2R) 11(4), 34–43 (2007)

    Article  MathSciNet  Google Scholar 

  2. Curtin, T., Bellingham, J., Catopovic, J., Webb, D.: Autonomous Oceanographic Sampling Networks. Oceanography 6(3), 86–94 (1993)

    Article  Google Scholar 

  3. Anderson, B., Crowell, J.: Workhorse AUV – A cost-sensible new Autonomous Underwater Vehicle for Surveys/ Soundings, Search & Rescue, and Research. In: Proc. IEEE Oceans 2005 Conference (2005)

    Google Scholar 

  4. Alvarez, A., Caffaz, A., Caiti, A., Casalino, G., Gualdesi, L., Turetta, A., Viviani, R.: Fòlaga: A low-cost autonomous underwater vehicle combining glider and AUV capabilities. Ocean Engineering 36(1), 24–38 (2009)

    Article  Google Scholar 

  5. Paley, D.A., Zhang, F., Leonard, N.E.: Cooperative Control for Ocean Sampling: The Glider Coordinated Control System. IEEE Trans. Control Systems Technology 16(4), 735–744 (2008)

    Article  Google Scholar 

  6. Curtin, T.B., Bellingham, J.: Progress toward autonomous ocean sampling networks, Deep Sea Research – Part II. Topical studies in Oceanography (2008) (in press), doi:10.1016/j.dsr2.2008.09.005

    Google Scholar 

  7. Jensen, F., Kuperman, W., Porter, M., Schmidt, H.: Computational Ocean Acoustics. American Institute of Physics (AIP), New York (1995)

    MATH  Google Scholar 

  8. Chitre, M., Shahabodeen, S., Stojanovic, M.: Underwater Acoustic Communications and Networking: Recent Advances and Future Challenges. Marine Technology Society Journal 42(1), 103–116 (2008)

    Article  Google Scholar 

  9. Ocean Acoustic Library, http://oalib.hlsresearch.com/

  10. Caiti, A., Casalino, G., Lorenzi, E., Turetta, A., Viviani, R.: Distributed adaptive environmental sampling with AUVs: Cooperation and team coordination through minimum-spanning-tree graph searching algorithms. In: Proc. IFAC Conf. Navigation, Guidance and Control of Underwater Vehicles, Killakoe, Ireland (2008)

    Google Scholar 

  11. Ghabcheloo, R., Aguiar, A.P., Pascoal, A., Silvestre, C.: Coordinated Path-Following Control of Multiple Auvs in the Presence of Communication Failures and Time Delays. In: Proc. IFAC Conf. Manoeuvering and Control of Marine Crafts, Lisbon (2006)

    Google Scholar 

  12. Coates, R.: Underwater Acoustic Systems. Wiley, New York (1989)

    Google Scholar 

  13. Telatar, I.E.: Capacity of multi-antenna Gaussian channels. Eur. Trans. Telecom. 10, 585–595 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Caiti, A., Crisostomi, E., Munafò, A. (2010). Physical Characterization of Acoustic Communication Channel Properties in Underwater Mobile Sensor Networks. In: Hailes, S., Sicari, S., Roussos, G. (eds) Sensor Systems and Software. S-CUBE 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11528-8_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11528-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11527-1

  • Online ISBN: 978-3-642-11528-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics