DOI QR코드

DOI QR Code

A Novel Clustering Method for Increasing Connection Durability in Sensor Network Environment

센서 네트워크에서 연결 지속성 향상 가능한 새로운 클러스터링 기법에 관한 연구

  • 김대현 (선문대학교 전자계산학과) ;
  • 김진묵 (선문대학교 컴퓨터정보학부) ;
  • 이경오 (선문대학교 컴퓨터정보학부)
  • Published : 2008.04.30

Abstract

The LEACH is a study method of a clustering base that was representative in many routing techniques that was suggested in sensor network environment. This is suggested technique to manage the sensor network group which consisted of many sensors in efficiency. However, it does not consider energy remaining quantity of the cluster header to manage cluster group, the problem where the cluster group is able to destroyed on the middle which transmits data. We are going to propose to solve such a problem by this paper for new clustering technique to accomplish management for a cluster group. It uses the technique which it proposes from the dissertation which it sees and are to the data transfer and the control also the connection directivity of the cluster group to improve also the lag time diminishes, test result it will lead and the possibility which it will know it was.

센서 네트워크 환경에서 기존에 제안된 많은 라우팅 기법들 중에서 대표적인 LEACH 기법은 클러스터링 기반의 연구방법이다. 이는 많은 센서들로 구성된 센서 네트워크 그룹을 효과적으로 관리하기 위해서 제안된 기법이다. 하지만 이때 클러스터 단위의 그룹을 관리하기 위한 클러스터 헤더에 대한 에너지 잔류량을 고려하지 못한 단점으로 인해 데이터 전송 도중 클러스터 그룹이 파괴되는 문제가 발생할 수 있다. 이에 본 논문에서는 이러한 문제를 해결하고자 클러스터 그룹에 대한 관리를 수행하는 새로운 클러스터링 기법에 대해서 제안하고자 한다. 본 논문에서 제안한 기법을 이용하여 클러스터 그룹의 연결지향성도 향상되었고 데이터 전송과 처리에 있어서 지연 시간도 감소함을 실험 결과를 통해 알 수 있었다.

Keywords

References

  1. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in Proceedings of HICSS-33, pp.3005-3014, Jan 2000
  2. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transactions on Wireless Communications, pp.660.670, Oct 2002
  3. O. Younis and S. Fahmy, “Distributed clustering in adhoc sensor networks: A hybrid, energy-efficient approach,” in Proceedings of IEEE INFOCOM, Mar 2004
  4. http://nile.wpi.edu/NS/
  5. Jamal N. Al-Karaki, Ahmed E. Kamal, “Routing Techniques in Wireless Sensor Networks : A survey,” IEEE Wireless Commun. Vol.11, Issue 6, pp.6-28, Dec. 2004
  6. http://www.isi.edu/nsnam/ns/
  7. http://www-nrg.ee.lbl.gov/ns/
  8. Chandrakasan, Amirtharajah, Cho, Goodman, Konduri, Kulik, Rabiner, and Wang. “Design Considerations for Distributed Microsensor Systems,” In IEEE 1999 Custom Integrated Circuits Conference (CICC), pp.279-286, May 1999
  9. Clare, Pottie, and Agre. “Self-Organizing Distributed Sensor Networks,” In SPIE Conference on Unattended Ground Sensor Technologies and Applications, pages 229-237, Apr. 1999
  10. K. Scott and N. Bambos. “Routing and Channel Assignment for Low Power Transmission in PCS,” In 5th IEEE Int. Conf. on Universal Personal Communications, volume 2, pages 498-502, Sept. 1996 https://doi.org/10.1109/ICUPC.1996.562623
  11. S. Basagni, “Distributed Clustering Algorithm for Ad-hoc Networks,” in International Symposium on Parallel Architectures, Algorithms, and Networks (I-SPAN), 1999
  12. W. Ye, J. Heidenmann, and D. Estrin, “An Energy-Efficient MAC Protocol for Wireless Sensor Networks,” in Proceedings of IEEE INFOCOM, New York, NY, June 2002