• DocumentCode
    1993646
  • Title

    Layered Multi-Path Power Control in Underwater Sensor Networks

  • Author

    Xu, Junfeng ; Li, Keqiu ; Min, Geyong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The provisioning of energy-efficient, reliable and low-delay communication in Underwater Sensor Networks (USNs) is a challenging research issue due to the use of acoustic channels. However, the existing mechanisms for enhancement of energy utilization and Quality-of-Service (QoS) in USNs have not considered noise attenuation in deep water which can deteriorate energy efficiency and QoS seriously. To fill this gap, this paper presents a novel scheme, namely Layered Multi-path Power Control (LMPC), to reduce the energy consumption as well as enhance reliable and robust communications in USNs. To this end, we first formalize an optimization problem to manage transmission power and control data rate across the whole network. The objective is to minimize energy consumption and simultaneously ensure other performance in terms of required packet error rate and maximum power. We then solve the key problems including establishment of the Energy-Efficient Tree (EET)and energy distribution in the tree and further provide a feasible solution for the optimization problem. Finally, the extensive simulation experiments are conducted to evaluate the network performance under different design alternatives. The simulation results show that the developed scheme outperforms the existing mechanism significantly.
  • Keywords
    power control; quality of service; telecommunication control; underwater acoustic communication; wireless sensor networks; acoustic channels; energy consumption; energy distribution; energy utilization enhancement; energy-efficient tree; layered multi-path power control; quality-of-service; transmission power; underwater sensor networks; Acoustics; Energy consumption; Logic gates; Noise; Oceans; Optimization; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683757
  • Filename
    5683757