• DocumentCode
    3323285
  • Title

    Utilizing Automatic Underwater Vehicles to Prolong the Lifetime of Underwater Sensor Networks

  • Author

    Zhan, Andong ; Chen, Guihai ; Wang, Wei

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2009
  • fDate
    3-6 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Consisting of sensors and vehicles, Underwater Sensor Networks (UWSNs) are deployed to perform collaborative monitoring tasks over a given region, such as water quality monitoring, mining equipment monitoring, oceanographic data collection, pollution surveillance, etc. However, comparing with terrestrial wireless sensor networks, it is more crucial to prolong network lifetime for UWSNs since the varying characteristics of the underwater environment and superior difficulty of underwater device maintenance. In this paper we present a three- dimensional hemisphere model for UWSNs and prove that the improvement in network lifetime by utilizing one Automatic Underwater Vehicle (AUV) is upper bounded by a factor of eight and the AUV only needs to stay within a two hop radius of the sink. We further propose an underwater aggregation routing algorithm UARA to prolong lifetime by utilizing one AUV. Finally, we perform extensive simulations to validate our conclusions.
  • Keywords
    underwater vehicles; wireless sensor networks; automatic underwater vehicles; collaborative monitoring tasks; mining equipment monitoring; network lifetime; oceanographic data collection; pollution surveillance; underwater sensor networks; water quality monitoring; wireless sensor networks; Collaboration; Marine pollution; Marine vehicles; Mining equipment; Monitoring; Sensor phenomena and characterization; Surveillance; Underwater vehicles; Water pollution; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-4581-3
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2009.5235299
  • Filename
    5235299