• DocumentCode
    3044945
  • Title

    Maximum lifetime transmission in wireless sensor networks for a common source observation

  • Author

    Zhang, Xiaolu ; Tao, Meixia ; Ng, Chun Sum

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    2008
  • fDate
    6-9 July 2008
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    Energy efficient transmission is of vital importance in the design of wireless sensor networks (WSN).Minimizing the sum of energy consumption of all sensor nodes in the network may lead to some nodes with non-rechargeable batteries running out of energy quickly. In this paper, we consider to maximize the time until the first node fails in the network, namely, the network lifetime. Transmission schemes in a WSN where multiple sensors observe a common physical phenomenon are investigated. We show that the optimal joint time and power control (JTPC) takes advantage of ldquolazy schedulingrdquo and ldquoopportunistic quantizationrdquo. We then demonstrate that the JTPC can be implemented in a partially distributed manner. Numerical results show that significant lifetime gain can be achieved when compared with existing scheduling algorithms.
  • Keywords
    scheduling; wireless sensor networks; common source observation; joint time and power control; lazy scheduling; maximum lifetime transmission; non-rechargeable batteries; opportunistic quantization; sensor nodes; wireless sensor networks; Batteries; Computational efficiency; Design engineering; Energy consumption; Energy efficiency; Power control; Power engineering and energy; Quantization; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008. IEEE 9th Workshop on
  • Conference_Location
    Recife
  • Print_ISBN
    978-1-4244-2045-2
  • Electronic_ISBN
    978-1-4244-2046-9
  • Type

    conf

  • DOI
    10.1109/SPAWC.2008.4641567
  • Filename
    4641567