• DocumentCode
    1667664
  • Title

    Cross-Layer Optimization for Energy-Timeliness Tradeoff in TDMA Based Sensor Networks

  • Author

    Luo, Jun ; Jiang, Lingge ; He, Chen

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy efficiency is a critical issue in wireless sensor networks. Energy consumption can be saved by using a lower transmission power, but this also increases the channel error rate and the energy consumption on packet retransmission, as well as the packet delay. In this paper, taking retransmission in physical layer into account, we propose a cross-layer strategy to explore the tradeoff between energy efficiency and packet timeliness in time division multiple access (TDMA) based sensor networks, by transmission power allocation and routing path selection schemes. We divide the problem into two optimization sub-problems of power allocation and path selection in each layer, and propose lower-complexity algorithms for each sub-problem. Numerical results show that a tradeoff exists between energy efficiency and packet timeliness, and energy consumption can be significantly reduced while satisfying the packet timeliness constraint by using the proposed strategy.
  • Keywords
    energy consumption; optimisation; time division multiple access; wireless sensor networks; TDMA; cross-layer optimization; energy consumption; energy-timeliness tradeoff; packet retransmission; routing path selection; time division multiple access; transmission power allocation; wireless sensor networks; Delay effects; Energy consumption; Energy efficiency; Helium; Monitoring; Physical layer; Power engineering and energy; Routing; 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.57
  • Filename
    4697832