• DocumentCode
    854903
  • Title

    Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks

  • Author

    Shu, Tao ; Krunz, Marwan ; Vrudhula, Sarma

  • Author_Institution
    Arizona Univ., Tucson, AZ
  • Volume
    5
  • Issue
    11
  • fYear
    2006
  • fDate
    11/1/2006 12:00:00 AM
  • Firstpage
    3109
  • Lastpage
    3118
  • Abstract
    In this paper, we address the problem of minimizing energy consumption in a CDMA-based wireless sensor network (WSN). A comprehensive energy consumption model is proposed, which accounts for both the transmit and circuit energies. Energy consumption is minimized by jointly optimizing the transmit power and transmission time for each active node in the network. The problem is formulated as a non-convex optimization. Numerical as well as closed-form approximate solutions are provided. For the numerical solution, we show that the formulation can be transformed into a convex geometric programming (GP), for which fast algorithms, such as interior point method, can be applied. For the closed-form solution, we prove that the joint power/time optimization can be decoupled into two sequential sub-problems: optimization of transmit power with transmission time serving as a parameter, and then optimization of the transmission time. We show that the first sub-problem is a linear program while the second one can be well approximated as a convex programming problem. Taking advantage of these analytical results, we further derive the per-bit energy efficiency. Our results are verified through numerical examples and simulations
  • Keywords
    code division multiple access; convex programming; geometric programming; linear programming; wireless sensor networks; CDMA; bit energy efficiency; comprehensive energy consumption model; convex geometric programming; linear program; nonconvex optimization; optimization; transmit power-time; wireless sensor networks; Batteries; Circuits; Closed-form solution; Energy consumption; Energy efficiency; Linear programming; Multiaccess communication; Numerical simulation; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2006.04738
  • Filename
    4027781