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Boundary Estimation in Sensor Networks: Theory and Methods

  • Robert Nowak
  • Urbashi Mitra
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2634)

Abstract

Sensor networks have emerged as a fundamentally new tool for monitoring spatially distributed phenomena. This paper investigates a strategy by which sensor nodes detect and estimate non-localized phenomena such as “boundaries” and “edges” (e.g., temperature gradients, variations in illumination or contamination levels). A general class of boundaries, with mild regularity assumptions, is considered, and theoretical bounds on the achievable performance of sensor network based boundary estimation are established. A hierarchical boundary estimation algorithm is proposed that achieves a near-optimal balance between mean-squared error and energy consumption.

Keywords

Sensor Network Sensor Node Communication Cost Neural Information Processing System Boundary Estimation 
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 2003

Authors and Affiliations

  • Robert Nowak
    • 1
  • Urbashi Mitra
    • 2
  1. 1.Department of Electrical & Computer EngineeringRice UniversityUSA
  2. 2.Electrical Engineering DepartmentUniversity of Southern CaliforniaUSA

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