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Energy map construction for wireless sensor network under a finite energy budget

Published:04 October 2004Publication History

ABSTRACT

A fundamental issue in the design of a wireless sensor network is to devise mechanisms to make efficient use of its energy, and thus, extend its lifetime. Due to the importance of energy conservation, it is highly desirable to define the amount of energy each protocol can spend to perform its goal. Using this idea, we can associate a finite energy budget with each network activity, and ask this activity to achieve its best performance using only its budget. This should be considered a new paradigm to design algorithms for networks that are battery powered, specially for wireless sensor networks. In this paper, we present this new paradigm, and show how it can be used to construct the energy map of a wireless sensor network. Our goal is to construct the best energy map using only a defined amount of energy. Results show that we can approach these performance limits using the proposed finite energy budget model.

References

  1. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, Next century challenges: scalable coordination in sensor networks, in MOBICOM'99, USA, pp. 263--270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. A. F. Mini, M. do Val Machado, A. A. F. Loureiro, and B. Nath, Prediction-based energy map for wireless sensor networks, Ad Hoc Networks Journal, 2004. To appear. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Y. J. Zhao, R. Govindan, and D. Estrin, Residual energy scans for monitoring wireless sensor networks, in IEEE WCNC'02, USA, pp. 356--362.Google ScholarGoogle Scholar

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  1. Energy map construction for wireless sensor network under a finite energy budget

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                cover image ACM Conferences
                MSWiM '04: Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
                October 2004
                334 pages
                ISBN:1581139535
                DOI:10.1145/1023663

                Copyright © 2004 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 4 October 2004

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                Acceptance Rates

                MSWiM '04 Paper Acceptance Rate45of121submissions,37%Overall Acceptance Rate398of1,577submissions,25%

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