• DocumentCode
    1549724
  • Title

    Shallow water acoustic networks

  • Author

    Proakis, John G. ; Sozer, Ethem M. ; Rice, Joseph A. ; Stojanovic, Milica

  • Author_Institution
    Northeastern Univ., Boston, MA, USA
  • Volume
    39
  • Issue
    11
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    114
  • Lastpage
    119
  • Abstract
    Underwater acoustic networks are generally formed by acoustically connected ocean bottom sensor nodes, autonomous underwater vehicles (AUVs), and surface stations that serve as gateways and provide radio communication links to on-shore stations. The quality of service of such networks is limited by the low bandwidth of acoustic transmission channels, high latency resulting from the slow propagation of sound, and elevated noise levels in some environments. The long-term goal in the design of underwater acoustic networks is to provide for a self-configuring network of distributed nodes with network links that automatically adapt to the environment through selection of the optimum system parameters. This article considers several aspects in the design of shallow water acoustic networks that maximize throughput and reliability while minimizing power consumption
  • Keywords
    minimisation; network topology; telecommunication network reliability; underwater acoustic communication; AUV; acoustic transmission channels; acoustically connected ocean bottom sensor nodes; autonomous underwater vehicles; design; distributed nodes; latency; long-term goal; network links; noise levels; optimum system parameters; power consumption; propagation; reliability; self-configuring network; shallow water acoustic networks; surface stations; throughput; underwater acoustic network; Acoustic propagation; Acoustic sensors; Bandwidth; Delay; Oceans; Quality of service; Radio communication; Sea surface; Underwater acoustics; Underwater vehicles;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/35.965368
  • Filename
    965368