Effect of Neighborhood on In-Network Processing in Sensor Networks

  • Authors:
  • Muhammad Jafar Sadeq;Matt Duckham

  • Affiliations:
  • Department of Geomatics, The University of Melbourne, Victoria, Australia 3010;Department of Geomatics, The University of Melbourne, Victoria, Australia 3010

  • Venue:
  • GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
  • Year:
  • 2008

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Abstract

Wireless sensor networks are growing from a few hand-placed devices to more large-scale networks in terms of coverage and node density. For various concerns, such as scalability, larger network sizes require some management of the large volume of data that a sensor network delivers. One way to manage this data is processing information in the network. This paper investigates how a sensor network's network architecture (specifically, the neighborhood structure) can influence the conclusions that a sensor network makes from its measurements. The results demonstrate that non-planar structures are infeasible for routing and some in-network processing applications. Structures with low average edge lengths give better quantitative results, while those with high edge densities give better qualitative results.