• DocumentCode
    3237915
  • Title

    LASA: Low-energy adaptive slot allocation scheduling algorithm for wireless sensor networks

  • Author

    Hussain, Sattar ; Zahmati, Amir Sepasi ; Fernando, Xavier

  • Author_Institution
    Dept. of Electr. & Comp. Eng., Ryerson Univ., Toronto, ON
  • fYear
    2009
  • fDate
    March 30 2009-April 1 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The wide range of wireless sensor network (WSN) applications makes it necessary to design MAC protocols that not only save energy and extend network life, but also improve network throughput, bandwidth utilization, and latency performance. In this paper we propose LASA (low-energy adaptive slot allocation) to replace the fix slot size in classical time division multiple access (TDMA) schemes by a variable slot size that dynamically adapts to the data size generated at sensor nodes. The proposed scheme eliminates slot idle time when nodes remain unnecessarily active with no data to transmit or receive. This approach outperforms the static slot size TDMA scheme, especially when there is a high traffic fluctuation and a big variance in the sensor data length. Our results show that this scheme significantly enhances network throughput, reduces bandwidth utilization, saves energy and extends network lifetime.
  • Keywords
    access protocols; adaptive scheduling; time division multiple access; wireless sensor networks; MAC protocols; bandwidth utilization; latency performance; low-energy adaptive slot allocation scheduling algorithm; time division multiple access schemes; wireless sensor networks; Access protocols; Bandwidth; Delay; Media Access Protocol; Scheduling algorithm; Telecommunication traffic; Throughput; Time division multiple access; Wireless application protocol; Wireless sensor networks; CSMA; Energy-Efficient; MAC; TDMA; Wireless Sensor Network (WSN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2009. SARNOFF '09. IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-3381-0
  • Electronic_ISBN
    978-1-4244-3382-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2009.4850360
  • Filename
    4850360