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Multi-criteria approach in configuration of energy efficient sensor networks

Published:18 March 2005Publication History

ABSTRACT

Problem and Motivation: A designing of energy efficient wireless sensor networks is one of the most trendy research topics. In this paper the authors developed a new multi-criteria approach which allows filtering out non-efficient topologies during a phase of designing of a sensor network and also running a self-adjustment process during its functioning. It is shown that the problem of designing of an energy efficient wireless sensor network belongs to the class D of optimization combinatorial problems for which the equivalent recognition problems are NP-complete or open. The D-class (Peltsverger B., Khavronin O. (1999)) is such that according to a decomposition approach there exist particular criteria compatible with the main one, and the recognition task corresponding to a particular criterion always belongs to the P-class problem.

References

  1. Akyildiz et al., (2002). Wireless Sensor Networks: A Survey, Computer Networks, vol. 38. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Garey, M., Johnson, D. (1979). Computers and Intractability, San Francisco: Freeman and Company.Google ScholarGoogle Scholar
  3. Peltsverger B., Khavronin O. (1999). Telecommunication Network Structure Design under Conditions of Indeterminacy of the Initial Information, INFORMS, Cincinnati, May 2-5.Google ScholarGoogle Scholar
  4. Statnikov, R., Bordetsky A., Statnikov A. (2004) Multicriteria Analysis of Real-Life Engineering Optimization Problems: Statement and Solution. Proceedings of the Fourth World Congress of Nonlinear Analysts (WCNA), Orlando, Florida, USA, June 30-July 7.Google ScholarGoogle Scholar
  1. Multi-criteria approach in configuration of energy efficient sensor networks

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    • Published in

      cover image ACM Conferences
      ACM-SE 43: Proceedings of the 43rd annual Southeast regional conference - Volume 2
      March 2005
      430 pages
      ISBN:1595930590
      DOI:10.1145/1167253

      Copyright © 2005 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 March 2005

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      Overall Acceptance Rate178of377submissions,47%

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