Mobile Sink Based Energy Efficient Path Setup Method for Wireless Sensor Networks 


Vol. 39,  No. 11, pp. 1068-1077, Nov.  2014


PDF Full-Text
  Abstract

In this paper, we propose a novel method for path setup that optimizes energy consumptions for wireless sensor network. Existing studies usually generate paths according to Random way point approach so that it requires unnecessary energy consumptions for estimating location of the mobile sink node and transmission paths of packets. To address this problem, we propose a method that creates paths for mobile sink node using the Hilbert curve. Moreover, our method adjusts the path of the mobile sink node according to the density of sensor nodes to minimize data transmission delay. In our experiments, the proposed method outperforms existing work such as TTDD and CBPER by up to 50times in terms of energy efficiency.

  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. Yang, S. Lee, H. Rho, W. Son, "Mobile Sink Based Energy Efficient Path Setup Method for Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 1068-1077, 2014. DOI: .

[ACM Style]

Seung-hyun Yang, Soong-yeol Lee, Hai-hwan Rho, and Won-kee Son. 2014. Mobile Sink Based Energy Efficient Path Setup Method for Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 39, 11, (2014), 1068-1077. DOI: .

[KICS Style]

Seung-hyun Yang, Soong-yeol Lee, Hai-hwan Rho, Won-kee Son, "Mobile Sink Based Energy Efficient Path Setup Method for Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 1068-1077, 11. 2014.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880