• DocumentCode
    3532075
  • Title

    Power-aware communication for wireless sensor-actuator systems

  • Author

    Gatsis, Konstantinos ; Pajic, Miroslav ; Ribeiro, Alejandro ; Pappas, G.J.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4006
  • Lastpage
    4011
  • Abstract
    This paper considers the design of power-aware communication protocols for a sensor transmitting plant state measurements over a wireless Markov fading channel to a receiver/controller. Communication requires power consumption at transmission adapted to channel fading, and at the receiver, which we model as constant at each transmission. We measure performance with a weighted sum of the average power consumption at both ends and an appropriately defined control task error. We derive an optimal self-triggered protocol where after each transmission devices decide when the next one will take place and switch to a zero-power sleep mode in between. We show that sleep durations need to adapt only to the current channel fading and not the plant state. We then derive an improved protocol allowing the sensor upon wake-up to decide whether to transmit or not based on current plant and channel conditions in an event-based fashion. The power/control performance improvements are illustrated in simulations.
  • Keywords
    Markov processes; actuators; energy consumption; fading channels; protocols; radio receivers; telecommunication power management; wireless sensor networks; optimal self-triggered protocol; power consumption; power-aware communication protocol; power-control performance improvement; receiver-controller; sensor transmitting plant state measurement; wireless Markov fading channel; wireless sensor-actuator system; zero-power sleep mode; Current measurement; Power demand; Protocols; Receivers; Switches; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760502
  • Filename
    6760502