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Scalable Ubiquitous Data Access in Clustered Sensor Networks

  • Yueh-Hua Lee
  • Alex Thomo
  • Kui Wu
  • Valerie King
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5069)

Abstract

Wireless sensor networks have drawn much attention due to their ability to monitor ecosystems and wildlife habitats. In such systems, the data should be intelligently collected to avoid human intervention. For this, we propose a network infrastructure in which the sensor nodes are designated as “data-generating” or “data-storage” nodes. Data-generating nodes take measurements, whereas data-storage nodes make themselves available to compute and store checksums of data received from nearby data-generating nodes.

We propose a spatially-clustered architecture for our storage nodes and a coding scheme that allows a data collector to recover all original data by querying only a small random subset of storage nodes from each cluster. The size of such a subset is equal to the number of data-generating nodes that the cluster serves.

When the clustering structure of the storage nodes is unknown, we show that recovering of the original data is still possible if a random subset of the right size of storage nodes is selected for querying. We determine this right size so as to have a successful decoding with a probability exceeding a given threshold.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Data Collector Storage Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yueh-Hua Lee
    • 1
  • Alex Thomo
    • 1
  • Kui Wu
    • 1
  • Valerie King
    • 1
  1. 1.University of VictoriaVictoria BCCanada

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