커뮤니티 컴퓨팅 환경에서의 멤버 생존시간 최적화 알고리즘 연구

Study on the Optimization Algorithm for Member Lifetime in Community Computing Environments

  • 발행 : 2008.07.01

초록

In community computing environments, various members cooperate with each other systematically for attaining each community's goals. Because community computing environments are organized on the basis of PAN (Personal Area Network), each member commonly uses the power of batteries. If one member in community uses up the power of battery and does not operate normally, the community will not be able to provide the ultimate service goals for its users and be terminated finally. Therefore, it is necessary for accurate community operation to prevent a specific member's lifetime from terminating, as checking each member's power consumption in real-time. In this paper, we propose WEL (WEighted Leach) algorithm for optimizing lifetime of the members in community.

키워드

참고문헌

  1. 조위덕, Ubiquitous Computing Paradigm, 유비쿼터스 컴퓨팅사업단, 2005년 5월
  2. M. J. Handy, M. Haase, and D. Timmermann, 'Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection,' International Workshop on Mobile and Wireless Communications Network, pp.368-372, Sep. 2002
  3. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, 'An application-specific protocol architecture for wireless microsensor networks,' Wireless Comm. IEEE, Vol. 1, No. 4, pp.660-670, 2002 https://doi.org/10.1109/TWC.2002.804190
  4. S. Lindsey and C. S. Raghavendra, 'PEGASIS: Power Efficient Gathering in Sensor 95 Information Systems,' Proc. of IEEE Aerospace Conference, pp.1125-1130, 2002
  5. A. Manjeshwar and D. P. Agrawal, 'TEEN: a routing protocol for enhanced efficiency in wireless sensor networks,' Proc. of 15th International Conference on Parallel and Distributed Processing Symposium, pp.2009-2015, 2001
  6. A. Manjeshwar and D. Agrawal, 'APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive information Retrieval in Wireless Sensor Networks,' International Parallel and Distributed Processing Symposium: IPDPS 2002 Workshops, pp.195-202, 2002
  7. V. Kawadia and P. R. Kumar, 'Power Control and Clustering in Ad Hoc Networks,' Proc. of IEEE INFOCOM, 2003
  8. V. Mhatre and C. Rosenberg, 'Design Guidelines for Wireless Sensor Network: Communication, Clustering and Aggregation,' Elsevier Ad Hoc Networks, 2003
  9. O. Tomoyuki, I. Shinji, K. Yosiaki and I. Kenji, 'An Adaptive Multihop Clustering Scheme for Ad Hoc Networks with High Mobility,' IEICE Tran. on Fundamentals, 2003
  10. H. Chan and A. Perrig, 'ACE: An Emergent Algorithm for Highly Uniform Cluster Formation,' 2004 European Workshop on Sensor Networks, 2004
  11. O. Younis and S. Fahmy, 'Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach,' Proc. of IEEE INFOCOM 2004, 2004
  12. Lee, SangHak; Ham, KyungSun; Park, ChangWon, 'Distributed Clustering for Wireless Sensor Networks,' ISCIT '06, 2006