Power Saving Algorithm based on Data Reuse in Tree Structured Wireless Sensor Networks 


Vol. 34,  No. 7, pp. 649-658, Jul.  2009


PDF
  Abstract

Due to limited size and limited battery lifetime of sensor node, one has to address the power saving issue in wireless sensor network. The existing power saving algorithm based on data reuse was proposed for the cluster structured wireless sensor network. We state the problem of existing power saving algorithm and propose new power saving algorithm for tree structured wireless sensor network. The proposed algorithm reduces power consumption by buffering the sensed data at the selected relay node for its data lifetime. The optimum buffering node is selected so that the power saving gain is maximized and at the same time, power consumption among sensor nodes are equally distributed in the network. With computer simulations, it is shown that the proposed algorithm outperforms the conventional algorithm in terms of power saving gain.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Lee and M. Yoo, "Power Saving Algorithm based on Data Reuse in Tree Structured Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 7, pp. 649-658, 2009. DOI: .

[ACM Style]

Sanghyun Lee and Myungsik Yoo. 2009. Power Saving Algorithm based on Data Reuse in Tree Structured Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 34, 7, (2009), 649-658. DOI: .

[KICS Style]

Sanghyun Lee and Myungsik Yoo, "Power Saving Algorithm based on Data Reuse in Tree Structured Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 7, pp. 649-658, 7. 2009.