한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제19권9호
  • /
  • Pages.75-84
  • /
  • 2014
  • /
  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

무선 센서네트워크에서 다종 센서(Different Types of Sensors)가 미치는 영향에 대한 분석

An Analysis of the Impact of Different Types of Sensors on Wireless Sensor Networks

  • 최동민 (조선대학교 자유전공학부) ;
  • 정일용 (조선대학교 컴퓨터공학과) ;
  • 김성열 (울산과학대학교 컴퓨터정보학부)
  • 투고 : 2014.08.05
  • 심사 : 2014.09.03
  • 발행 : 2014.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서 우리는 다양한 센서를 사용하는 센서네트워크 환경을 구축하고 이를 단일 센서만을 고려하여 설계된 기존의 클러스터링 알고리즘에 적용하여 성능평가를 진행하였다. 실험에는 서로 다른 타입의 네트워크를 고려하였다. 첫 번째 네트워크는 모든 노드가 동일한 타입의 센서를 장착하는 환경이며, 두 번째는 3가지의 다종 센서를 사용한 네트워크 환경이다. 우리는 몇몇 클러스터링 기법을 데이터 정확성, 자원 고갈 노드 발생 시점, 네트워크 가용 에너지량, 고립 노드 비율, 그리고 네트워크 수명에 따라 성능 변화를 측정하였다. 성능 평가 결과에 의하여 기존 알고리즘은 다종 센서를 사용한 네트워크 유지에 비효율적이라는 사실을 입증하였다. 이에 따라 우리는 다종 센서를 고려한 클러스터링 알고리즘에 대한 연구가 요구됨을 제시하였다.

In this paper, we constructed a sensor network environment where various sensors are used. Then, we evaluated the performance when this environment adopted existing clustering algorithms that are designed for only single type sensors network. In our experiments, we considered two different types of the networks. In the first, all nodes are equipped with identical sensors. In the second, all nodes are equipped with three different types of sensors. We measured performance variations of several clustering schemes in accordance with sensor data accuracy, sensor node resource depletion timing, amount of available energy, node isolation ratio, and network lifetime. According to our performance analysis, we proved that existing clustering algorithms are partially inefficient to maintain the various-sensor network. Consequently we suggest that a new algorithm is required to take aim at the various sensor network.

키워드

참고문헌

  1. D. Choi, S. Moh, and I. Chung, "Impact of Sensor Data Patterns on Performance Evaluation of Clustering Schemes in Wireless Sensor Networks," Sensor Letters, Vol. 11 No. 2, pp.249-258, 2013. https://doi.org/10.1166/sl.2013.2752
  2. D. Choi, and I. Chung, "Fundamental Considerations: Impact of Sensor Characteristics, Application Environments in Wireless Sensor Networks," Journal of Korea Multimedia Society Vol. 7, No. 4, pp. 441-457, April 2014. https://doi.org/10.9717/kmms.2014.17.4.441
  3. H. Gao, X. Fang, J. Li, and Yingshu Li, "Data Collection in Multi-Application Sharing Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, IEEE early access articles, Issue. 99, pp. 1, January 2014.
  4. D. Hyok, and C. Ryu, "Multi-sensor Data Fusion Using Weighting Method based on Event Frequency," The Korea Institute of Electronic Communication Sciences, Vol. 6, No. 4, pp. 581-587, August 2011.
  5. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "An Application-Specific Protocol Architecture for Wireless Microsensor Networks," IEEE Transactions on Wireless Communications, Vol. 1, No. 4, pp. 660-670, October 2002. https://doi.org/10.1109/TWC.2002.804190
  6. A. Manjeshwar, and D. P. Agarwal, "TEEN: a Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks," Parallel and Distributed Processing Symposium, Proceedings 15th International, pp. 30189a, April 2001.
  7. A. Manjeshwar, and D. P. Agarwal, "APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks," Parallel and Distributed Processing Symposium, Proceedings International, IPDPS 2002, pp. 195-202, 2002.
  8. D. Nam, and H. Min, "An Energy-Efficient Clustering Using a Round-Robin Method in a Wireless Sensor Network," Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on, pp. 54-60, 2007.
  9. D. Choi, J. Shen, S. Moh, and I. Chung, "Data Prediction Strategy for Sensor Network Clustering Scheme," Journal of Korea Multimedia Society, Vol. 14, No. 9, pp. 1138-1151, September 2011. https://doi.org/10.9717/kmms.2011.14.9.1138
  10. S. Ganesan, and R. Finch, "Monitoring of Rail Forces by using Acoustic Signature Inspection," Journal of Sound and Vibration, Vol. 114, No. 2, pp. 165-171, April 1987. https://doi.org/10.1016/S0022-460X(87)80145-1
  11. M. Cerullo, G. Fazio, M. Fabbri, F. Muzi, and G. Sacerdoti, "Acoustic Signal Processing to Diagnose Transiting Electrictrains," IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 2, pp. 238-243, June 2005. https://doi.org/10.1109/TITS.2005.848361
  12. L. Cheng, and S. Pakzad, "Agility of Wireless Sensor Networks for Earthquake Monitoring of Bridges," In Networked Sensing Systems (INSS), 2009 Sixth International Conference on, pp. 1-4, June 2009.
  13. M. Suzuki, S. Saruwatari, N. Kurata, and H. Morikawa, "A High-density Earthquake Monitoring System using Wireless Sensor Networks," Proceedings of the 5th International Conference in Embedded Networked Sensor Systems, pp. 373-374, 2007.
  14. R. Tan, G. Xing, J. Chen, W. Song, and R. Huang, "Qualitydriven Volcanic Earthquake Detection using Wireless Sensor Networks," In Real-Time Systems Symposium (RTSS), 2010 IEEE 31st, pp. 271-280, December 2010.
  15. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, "Wireless Sensor Networks for Habitat Monitoring," In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, WSNA '02, pp. 88-97, 2002.
  16. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler, "An Analysis of a Large Scale Habitat Monitoring Application," In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys'04, pp. 214-226, 2004.
  17. R. Szewczyk, E. Osterweil, J. Polastre, M. Hamilton, A. Mainwaring, and D. Estrin, "Habitat Monitoring with Sensor Networks," Communications of the ACM, Vol. 47, No. 6, pp. 34-40, June 2004.
  18. S. Na, S. Choi, T. Lee, and Y. Cho, "Clustering Algorithm for Efficient Energy Consumption in Wireless Sensor Networks," Journal of The Korea Society of Computer and Information, Vol. 19, No. 6, June 2014. https://doi.org/10.9708/jksci.2014.19.6.049
  19. J. Kim, C. Park, C. Kim, and B. Kang, "An Energy-Efficient Data Aggregation using Hierarchical Filtering in Sensor Network," Journal of The Korea Society of Computer and Information, Vol. 12, No. 1, March 2007.
  20. D. Choi, and I. Chung, "Energy Efficient Clustering Scheme for composite Sensor Networks," The 10th International Conference on Multimedia Information Technology and Applications (MITA 2014), July 2014.