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Challenges for Efficient Communication in Underwater Acoustic Sensor Networks (2004)
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| Venue: | ACM SIGBED Review |
| Citations: | 88 - 0 self |
BibTeX
@ARTICLE{Akyildiz04challengesfor,
author = {Ian F. Akyildiz and Dario Pompili and Tommaso Melodia},
title = {Challenges for Efficient Communication in Underwater Acoustic Sensor Networks},
journal = {ACM SIGBED Review},
year = {2004}
}
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Abstract
Abstract — Ocean bottom sensor nodes can be used for oceanographic data collection, pollution monitoring, offshore exploration and tactical surveillance applications. Moreover, Unmanned or Autonomous Underwater Vehicles (UUVs, AUVs), equipped with sensors, will find application in exploration of natural undersea resources and gathering of scientific data in collaborative monitoring missions. Underwater acoustic networking is the enabling technology for these applications. Underwater Networks consist of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. In this paper, several fundamental key aspects of underwater acoustic communications are investigated. Different architectures for two-dimensional and three-dimensional underwater sensor networks are discussed, and the underwater channel is characterized. The main challenges for the development of efficient networking solutions posed by the underwater environment are detailed at all layers of the protocol stack. Furthermore, open research issues are discussed and possible solution approaches are outlined. I.
Keyphrases
efficient communication underwater acoustic sensor network underwater channel scientific data possible solution approach open research issue several fundamental key aspect autonomous underwater vehicle underwater acoustic communication abstract ocean bottom sensor node underwater environment different architecture three-dimensional underwater sensor network tactical surveillance application underwater network consist collaborative monitoring mission efficient networking solution protocol stack variable number pollution monitoring main challenge oceanographic data collection collaborative monitoring task natural undersea resource underwater acoustic networking
