• Abstract
• Full-Text PDF [356 KB]

• Article Statistics
• Google Scholar
• Order Reprints

• Cite this article
• Export to BibTeX
• Export to EndNote

• [+] on DOAJ
• Zalyubovskiy, V
• Erzin, A
• Astrakov, S
• Choo, H
• [+] on Google Scholar
• Zalyubovskiy, V
• Erzin, A
• Astrakov, S
• Choo, H
• [+] on PubMed
• Zalyubovskiy, V
• Erzin, A
• Astrakov, S
• Choo, H

•  CiteULike
•  Connotea
•  Facebook
•  Mendeley
•  Twitter

This article is

• freely available
• re-usable

Sensors 2009, 9(4), 2446-2460; doi:10.3390/s90402446

Article

Energy-efficient Area Coverage by Sensors with Adjustable Ranges

Vyacheslav Zalyubovskiy¹ , Adil Erzin¹ , Sergey Astrakov²  and Hyunseung Choo^3,*

¹ Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia ² Russian State University of Trade and Economics, Kemerovo Branch, Kemerovo, Russia ³ School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea

* Author to whom correspondence should be addressed.

Received: 19 January 2009; in revised form: 30 March 2009 / Accepted: 6 April 2009 / Published: 8 April 2009

(This article belongs to the Section Physical Sensors)

Download PDF Full-Text [356 KB, uploaded 8 April 2009 09:37 CEST]

Abstract: In wireless sensor networks, density control is an important technique for prolonging a network\'s lifetime. To reduce the overall energy consumption, it is desirable to minimize the overlapping sensing area of the sensor nodes. In this paper, we study the problem of energy-efficient area coverage by the regular placement of sensors with adjustable sensing and communication ranges. We suggest a more accurate method to estimate efficiency than those currently used for coverage by sensors with adjustable ranges, and propose new density control models that considerably improve coverage using sensors with two sensing ranges. Calculations and extensive simulation show that the new models outperform existing ones in terms of various performance metrics.

Keywords: Coverage; deployment; energy efficiency; wireless sensor networks; simulation

Article Statistics

Cite This Article