• DocumentCode
    2041691
  • Title

    A heuristic approach for component selection of low power micro sensor nodes based on simple energy model

  • Author

    Sharma, Neeraj ; Singh, Meneesh Kumar ; Goswami, Ashish

  • Author_Institution
    SASE, DRDO, Hyderabad, India
  • Volume
    4
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    Critical characteristics of wireless sensor networks, as being autonomous and comprising small or miniature devices are achieved at the expense of very strict available energy related limitations. The energy constraint in wireless sensor networks (WSNs) advocates the design and use of low power components in sensor nodes. In this paper, a simple energy model for the node autonomy estimation has been developed. The energy model implemented in this paper takes into account the pulsed discharge battery model rather than continuous discharge assumptions for node autonomy, presented in earlier works. The wake up and sleep modes have been modeled separately which has not been done in the earlier models developed so far. Comparison between hardware for nodes has been made on the basis of node autonomy calculated from the simple energy model developed in this paper.
  • Keywords
    discharges (electric); heuristic programming; microsensors; wireless sensor networks; WSN; energy constraint; heuristic approach; low power microsensor node; node autonomy estimation; pulsed discharge battery model; simple energy model; sleep mode; wake up mode; wireless sensor network; Batteries; Multiaccess communication; Power demand; Radio transceivers; System-on-a-chip; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5941906
  • Filename
    5941906