Open Access
Issue
MATEC Web of Conferences
Volume 57, 2016
4th International Conference on Advancements in Engineering & Technology (ICAET-2016)
Article Number 02007
Number of page(s) 5
Section Information Systems & Computer Science Engineering
DOI https://doi.org/10.1051/matecconf/20165702007
Published online 11 May 2016
  1. Tunnicliffe, V., Barnes, C. & Dewey, R. 2008 Major advances in cabled ocean observatories (VENUS and NEPTUNE Canada) in coastal and deep sea settings. In IEEE/OES US/EUBaltic Int. Symp., Tallinn, Estonia, May 2008, pp. 1–7. IEEE. [Google Scholar]
  2. Farr, N., Bowen, A., Ware, J., Pontbriand, C. & Tivey, M. 2010 An integrated, underwater optical/acoustic communications system. In IEEE Oceans Conf., Sydney, Australia, May 2010, pp. 1–6. IEEE. [Google Scholar]
  3. Vasilescu, I., Kotay, K., Rus, D., Dunbabin, M. & Corke, P. 2005 Data collection, storage, and retrieval with an underwater sensor network. In Proc. 3rd ACM SenSys Conf., San Diego, CA, November 2005, pp. 154–165. ACM. [Google Scholar]
  4. Cella, U. M., Johnstone, R. & Shuley, N. 2009 Electromagnetic wave wireless communication in shallow water coastal environment: theoretical analysis and experimental results. In Proc.4th ACM Int. Workshop on Underwater Networks (WUWNet), Berkeley, CA, November 2009,pp. 9:1–9:8. ACM. [Google Scholar]
  5. Friedman, J., Torres, D., Schmid, T., Dong, J. & Srivastava, M. B. 2010 A biomimetic quasistatic electric field physical channel for underwater ocean networks. In Proc. 5th ACM Int. Workshop on Underwater Networks (WUWNet), Woods Hole, MA, September 2010. ACM. [Google Scholar]
  6. Urick, R. 1983 Principles of underwater sound. New York, NY: McGraw-Hill. [Google Scholar]
  7. Stojanovic, M. 2007 On the relationship between capacity and distance in an underwater acoustic communication channel. ACM Mobile Comput. Commun. Rev. 11, 34–43. (doi:10.1145/1347364.1347373) [CrossRef] [Google Scholar]
  8. Carrascosa, P. C. & Stojanovic, M. 2010 Adaptive channel estimation and data detection for underwater acoustic MIMO OFDM systems. IEEE J. Oceanic Eng. 35, 635–646. (doi:10.1109/JOE.2010.2052326) [CrossRef] [Google Scholar]
  9. Roy, S., Duman, T. & McDonald, V. 2009 Error rate improvement in underwater MIMO communications using sparse partial response equalization. IEEE J. Oceanic Eng. 34, 181–201. (doi:10.1109/JOE.2009.2014658) [CrossRef] [Google Scholar]
  10. Fairley, P. 2005 Neptune rising. IEEE Spectr. 42, 38–45. (doi:10.1109/MSPEC.2005.1526903) [CrossRef] [Google Scholar]
  11. OPNET Modeler v15.0 Reference Manual OPNET Technologies Inc. OPNET Modeler. Available online: http://www.opnet.com (accessed on 12 December 2011). [Google Scholar]
  12. Berkhovskikh, L.; Lysanov, Y. Fundamentals of Ocean Acoustics; Springer: Berlin, Germany, 1982. [CrossRef] [Google Scholar]
  13. Peleato, B.; Stojanovic. M. Distance aware collision avoidance protocol for ad hoc underwater acoustic sensor networks. IEEE Commun. Lett. 2007, 11, 1025-1027. [CrossRef] [Google Scholar]
  14. Llor, J.; Malumbres, M.P. Performance evaluation of underwater wireless sensor networks with OPNET. In Proceedings of the ACM Simutools. ICST, Barcelona, Spain, 21–25 March 2011. [Google Scholar]
  15. Xie, G.; Gibson, J. Incorporating realistic acoustic propagation models in simulation of underwater acoustic networks: A statistical approach. In Proceedings of MTS/IEEE Oceans Conference, Boston, MA, USA, 18–22 September 2006; pp. 18-21. [Google Scholar]

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