• DocumentCode
    1668332
  • Title

    Battery-Aware TDMA Scheduling Schemes for Wireless Sensor Networks

  • Author

    Su, Hang ; Zhang, Xi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    One of the critical problems for the wireless sensor networks is how to prolong the battery lifespan of the wireless sensor nodes. We proposed the cross-layer based battery-aware time division multiple access (TDMA) scheduling schemes for wireless sensor networks, which aim at maximizing the battery capacity utilization of wireless sensor nodes while satisfying the delay quality of service (QoS) requirements. Our proposed schemes take into account the joint effect of electrochemical properties of the battery, time-varying wireless fading channels, and packet queuing management. We develop a Markov chain model to analyze the performance of our proposed schemes. Based on the analytical model, we identify the tradeoff between the battery lifespan and the packet transmission delay. The analytical and simulation results show that our proposed schemes can significantly increase the battery lifespan of sensor nodes at the expense of acceptable increase of packet transmission delay.
  • Keywords
    fading channels; scheduling; time division multiple access; wireless channels; wireless sensor networks; Markov chain model; battery lifespan; battery-aware TDMA scheduling schemes; packet queuing management; packet transmission delay; quality of service; time division multiple access scheduling; time-varying wireless fading channels; wireless sensor networks; wireless sensor nodes; Analytical models; Battery management systems; Biosensors; Delay; Fading; Intelligent sensors; Performance analysis; Scheduling; Time division multiple access; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.93
  • Filename
    4697868