CME: A contour mapping engine in wireless sensor networks

Yingqi Xu, Wang-chien Lee, Gail Mitchell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network resources. In this paper, we present the design of a contour mapping engine (CME) in wireless sensor networks. Our design incorporates in-network processing based on binary classification to reduce the total number of active nodes. The underlying network architecture is analyzed, to derive an optimal configuration. We show, by extensive simulations, the superiority of CME over the state-of-the-art contour mapping techniques.

Original languageEnglish (US)
Title of host publicationProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
Pages133-140
Number of pages8
DOIs
StatePublished - Sep 22 2008
Event28th International Conference on Distributed Computing Systems, ICDCS 2008 - Beijing, China
Duration: Jul 17 2008Jul 20 2008

Publication series

NameProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008

Other

Other28th International Conference on Distributed Computing Systems, ICDCS 2008
CountryChina
CityBeijing
Period7/17/087/20/08

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software

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