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Citation
Sergio Bermudez, Stephen Wicker. "Taking Advantage of Data Correlation to Control the Topology of Wireless Sensor Networks". International Conference on Telecommunications, 2008.

Abstract
Abstract—Sleep-based topology control is an important technique used in wireless sensor networks (WSNs) to reduce the energy consumption of the individual node platforms and, as a consequence, sleep-based topology control is useful to increase the functional lifetime of the networks. While in the literature there are several schemes that address sleep-based topology control in WSNs, there is no proposal that operates exploiting the information provided by the correlation among sensed data. This paper describes a method to control the topology of a WSN using information about data correlation. With the correlation information, the node platforms are able to create a two-tier network—one tier of active while the other of backup nodes—and thus extend the functional lifetime of the WSN. Basically, the mechanism consists of two steps: (1) autonomous creation of clusters and (2) use of a scheduling algorithm within these clusters. Our scheme has practical relevance since it is simple, localized, decentralized, and scalable. Moreover, using correlation information allows relaxing common assumptions imposed in other topology control schemes. This article provides a tractable model of the scheme and analytical results showing its performance along with simulations that support the analytical results.

Electronic downloads

• HTML

  Sergio Bermudez, Stephen Wicker. <a
  href="http://www.truststc.org/pubs/346.html"
  >Taking Advantage of Data Correlation to Control the
  Topology of Wireless Sensor Networks</a>,
  International Conference on Telecommunications, 2008.

• Plain text

  Sergio Bermudez, Stephen Wicker. "Taking Advantage of
  Data Correlation to Control the Topology of Wireless Sensor
  Networks". International Conference on
  Telecommunications, 2008.

• BibTeX

  @inproceedings{BermudezWicker08_TakingAdvantageOfDataCorrelationToControlTopologyOfWireless,
      author = {Sergio Bermudez and Stephen Wicker},
      title = {Taking Advantage of Data Correlation to Control
                the Topology of Wireless Sensor Networks},
      booktitle = {International Conference on Telecommunications},
      year = {2008},
      abstract = {Abstract—Sleep-based topology control is an
                important technique used in wireless sensor
                networks (WSNs) to reduce the energy consumption
                of the individual node platforms and, as a
                consequence, sleep-based topology control is
                useful to increase the functional lifetime of the
                networks. While in the literature there are
                several schemes that address sleep-based topology
                control in WSNs, there is no proposal that
                operates exploiting the information provided by
                the correlation among sensed data. This paper
                describes a method to control the topology of a
                WSN using information about data correlation. With
                the correlation information, the node platforms
                are able to create a two-tier network—one tier
                of active while the other of backup nodes—and
                thus extend the functional lifetime of the WSN.
                Basically, the mechanism consists of two steps:
                (1) autonomous creation of clusters and (2) use of
                a scheduling algorithm within these clusters. Our
                scheme has practical relevance since it is simple,
                localized, decentralized, and scalable. Moreover,
                using correlation information allows relaxing
                common assumptions imposed in other topology
                control schemes. This article provides a tractable
                model of the scheme and analytical results showing
                its performance along with simulations that
                support the analytical results.},
      URL = {http://www.truststc.org/pubs/346.html}
  }
  

Posted by Sergio Bermudez on 31 Mar 2008.
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