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Reliability in underwater inter-vehicle communications
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International Conference on Mobile Computing and Networking archive
Proceedings of the third ACM international workshop on Underwater Networks table of contents
San Francisco, California, USA
SESSION: Algorithms and analysis table of contents
Pages 19-26  
Year of Publication: 2008
ISBN:978-1-60558-185-9
Authors
Amrita A. Nimbalkar  Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Dario Pompili  Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Underwater networks are envisioned to enable several applications for oceanographic data collection, environmental monitoring, navigation, and tactical surveillance. Underwater acoustic networking is the enabling technology for these applications. Most of these applications make use of underwater vehicles and rely on inter-vehicle communication capabilities for information exchange and coordination purposes. Reliable data delivery, especially in the case of mobile underwater vehicles, is therefore a major concern in many of these applications. In this paper, three versions of a reliable unicast protocol are proposed, which integrate MAC and routing functionalities and leverage different levels of neighbor knowledge for making optimum decisions for reliable data delivery. The different levels of neighbor knowledge used by the protocols are: (i) no neighbor knowledge, (ii) one-hop neighbor knowledge, and (iii) two-hop neighbor knowledge. The three versions of the protocol have been devised by considering the peculiar characteristics of underwater channel, in design as well as in performance simulation. The protocols have been compared in static as well as mobile scenarios in terms of different end-to-end networking metrics.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Amrita A. Nimbalkar: colleagues
Dario Pompili: colleagues