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Scattered data selection for dense sensor networks

Published:26 April 2004Publication History

ABSTRACT

An evaluation methodology is presented for the performance of reporting node self-selection in wireless sensor networks. Five cost metrics are proposed along with several methods for self-selection that involve little or no collaboration with other nodes. These costs are used to evaluate how efficiently the various algorithms allow for node self-selection as simulated on different field complexities. Analysis of different methods over 100 test fields sampled by 2000 nodes indicates that there is no single method that is superior in all respects. Trade-offs in latency and overall energy consumption are revealed to be highly dependent on the selection method and the field complexity.

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  1. Scattered data selection for dense sensor networks

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      cover image ACM Conferences
      IPSN '04: Proceedings of the 3rd international symposium on Information processing in sensor networks
      April 2004
      464 pages
      ISBN:1581138466
      DOI:10.1145/984622

      Copyright © 2004 ACM

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      New York, NY, United States

      Publication History

      • Published: 26 April 2004

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      Overall Acceptance Rate143of593submissions,24%

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