Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
권호 표지
DOI QR코드

DOI QR Code

An energy efficient clustering scheme by adjusting group size in zigbee environment

Zigbee 환경에서 그룹 크기 조정에 의한 에너지 효율적인 클러스터링 기법

  • Park, Jong-Il (Dept. of Computer Science, Graduate School of Soongsil University) ;
  • Lee, Kyoung-Hwa (Dept. of Computer Science, Graduate School of Soongsil University) ;
  • Shin, Yong-Tae (Dept. of Computer Science, Graduate School of Soongsil University)
  • 박종일 (숭실대학교 대학원 컴퓨터학과) ;
  • 이경화 (숭실대학교 대학원 컴퓨터학과) ;
  • 신용태 (숭실대학교 대학원 컴퓨터학과)
  • Received : 2010.05.25
  • Accepted : 2010.08.26
  • Published : 2010.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

The wireless sensor networks have been extensively researched. One of the issues in wireless sensor networks is a developing energy-efficient clustering protocol. Clustering algorithm provides an effective way to extend the lifetime of a wireless sensor networks. In this paper, we proposed an energy efficient clustering scheme by adjusting group size. In sensor network, the power consumption in data transmission between sensor nodes is strongly influenced by the distance of two nodes. And cluster size, that is the number of cluster member nodes, is also effected on energy consumption. Therefore we proposed the clustering scheme for high energy efficiency of entire sensor network by controlling cluster size according to the distance between cluster header and sink.

Keywords

References

  1. D. Estrin, L. Girod, G. Pottie, and M. Srivastava, “Instrumenting the world with wireless sensor networks”, Acoustics, Speech, and Signal Processing, vol. 4, pp. 2033-2036, 2001.
  2. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102-114, 2002. https://doi.org/10.1109/MCOM.2002.1024422
  3. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks”, System Sciences, vol. 2, pp. 10-19, 2000.
  4. W. Heinzelman, A. Chandrakasan, and H.Balakrishnan. “An application-specific protocol architecture for wireless microsensor networks”, IEEE Transactions on Wireless Communication, vol. 1, no. 4, 2002.
  5. O. Younis and S. Fahmy, “HEED: A hybrid, energyefficient, distributed clustering approach for Ad Hoc sensor networks”, IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366-379, 2004. https://doi.org/10.1109/TMC.2004.41
  6. W. B. Heinzelman, “Application-specific protocol architectures for wireless networks”, IEEE Transactions on Wireless Communications, vol. 1, no. 4, 2002.
  7. X. Wu, M. A. U. Khan, J. Cho, S. Y. Lee, and Y.-K. Lee, “Energy-efficient clustering with fast data compression in sensor networks”, International Conference on Hybrid Information Technology (ICHIT'06), Cheju Island, Korea, Nov 9-11, 2006, ISBN 0-7695-2674-8, IEEE Computer Society, pp. 403-408.
  8. S. Bandyopadhyay and E. J. Coyle, “An energy efficient hierarchical clustering algorithm for wireless sensor networks”, Proceeding of INFOCOM, 2003.
  9. Singh. V. Kumar, H.-T. Lim, and W.-Y. Chung, “A wireless sensor network approach to enable location awareness in ubiquitous healthcare applications”, J. Kor. Sensors Soc., vol. 16, no. 4, pp. 277-285, 2007. https://doi.org/10.5369/JSST.2007.16.4.277

Cited by

  1. Wireless Optical Fiber Interferometer Arterial Pulse Wave Sensor System vol.22, pp.6, 2013, https://doi.org/10.5369/JSST.2013.22.6.439