• DocumentCode
    85890
  • Title

    Effective Resource Management in Visual Sensor Networks With MPSK

  • Author

    Odejide, O.O. ; Bentley, E.S. ; Kondi, Lisimachos P. ; Matyjas, John D.

  • Author_Institution
    Air Force Res. Lab., Rome, NY, USA
  • Volume
    20
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    739
  • Lastpage
    742
  • Abstract
    The problem of resource management in a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless Visual Sensor Network (VSN) with M-array Phase Shift Keying (MPSK) modulation in an Additive White Gaussian Network (AWGN) channel was considered in this paper. Achieving maximum video quality, in spite of the prevailing network resource constraints, is of utmost importance in VSN applications. Our optimization scheme is based on the Nash Bargaining Solution (NBS). The nodes in the network negotiate in order to determine their transmission parameters (transmission powers; source and channel coding rates for each node). The task is to optimize the transmission powers (which are continuous) and the source and channel coding rates (which are discrete) for all the network nodes, while taking advantage of the improved bandwidth spectral efficiency provided by the higher order constellation.
  • Keywords
    AWGN channels; channel coding; code division multiple access; game theory; optimisation; phase shift keying; source coding; spread spectrum communication; telecommunication network management; wireless sensor networks; AWGN channel; DS-CDMA; M-array phase shift keying modulation; MPSK; NBS; Nash bargaining solution; VSN applications; additive white Gaussian network channel; bandwidth spectral efficiency improvement; channel coding rates; direct sequence code division multiple access; higher order constellation; maximum video quality; network resource constraints; optimization scheme; resource management; source coding rates; transmission powers; wireless visual sensor network; Binary phase shift keying; Channel coding; Convolutional codes; Optimization; Resource management; Visualization; Cross layer optimization; MPSK; Nash bargaining solution; game theory; visual sensor network;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2013.2265912
  • Filename
    6522865