• DocumentCode
    104234
  • Title

    Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks

  • Author

    Yetgin, Halil ; Cheung, Kent Tsz Kan ; El-Hajjar, Mohammed ; Hanzo, Lajos

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
  • Volume
    4
  • Issue
    4
  • fYear
    2014
  • fDate
    12 2014
  • Firstpage
    176
  • Lastpage
    182
  • Abstract
    Maintaining high energy efficiency is essential for increasing the lifetime ot wireless sensor networks (WSNs), where the battery of the sensor nodes cannot be routinely replaced. Nevertheless, the energy budget of the WSN strictly relies on the communication parameters, where the choice of both the transmit power as well as of the modulation and coding schemes (MCSs) plays a significant role in maximising the network lifetime (NL). In this paper, we optimise the NL of WNSs by analysing the impact of the physical layer parameters as well as of the signal processing power (SPP) Psp on the NL. We characterise the underlying trade-offs between the NL and bit error ratio (BER) performance for a predetermined set of target signal-to-interference-plus-noise ratio (SINR) values and for different MCSs using periodic transmit-time slot (TS) scheduling in interference-limited WSNs. For a per-link target BER requirement (PLBR) of 10-3, our results demonstrate that a `continuous-time´ NL in the range of 0.58 - 4.99 years is achieved depending on the MCSs, channel configurations, and SPI.
  • Keywords
    AWGN channels; Rayleigh channels; concatenated codes; convolutional codes; decoding; energy conservation; error statistics; linear programming; modulation coding; nonlinear programming; quadrature phase shift keying; scheduling; signal processing; telecommunication power management; wireless sensor networks; MCS; NL maximisation; PLBR; Rayleigh fading channel; SINR; SPP; TS scheduling; WSN; WSN energy budget; additive white Gaussian noise channel; bit error ratio; concatenated coding; convolutional coded soft-decoded quadrature phase-shift keying; cross-layer network lifetime optimisation; energy efficiency; interior point method; linear programming problem; modulation and coding scheme; nonlinear energy consumption constraint; nonlinear optimisation problem; per-link target BER requirement; periodic transmit-time slot scheduling; sensor nodes battery; signal processing power; signal-to-interference-plus-noise ratio; transmit power; wireless sensor network;
  • fLanguage
    English
  • Journal_Title
    Wireless Sensor Systems, IET
  • Publisher
    iet
  • ISSN
    2043-6386
  • Type

    jour

  • DOI
    10.1049/iet-wss.2014.0049
  • Filename
    6994354