Monitoring Environmental Boundaries with a Robotic Sensor Network

Abstract

In this paper, we propose and analyze two algorithms to monitor an environmental boundary with mobile sensors. The objective is to optimally approximate the boundary with a polygon. In the first scenario the mobile sensors know the boundary and the approximating polygon is defined by the sensors' positions. In the second scenario the mobile sensors rely only on sensed local information to position some interpolation points and define an approximating polygon. For both scenarios we design algorithms that distribute the vertices of the approximating polygon uniformly along the boundary. The notion of uniform placement relies on a metric inspired by known results on approximation of convex bodies. The first algorithm is proved to converge in the case of static boundaries whereas the second one is provably convergent also for slowly-moving boundaries because of certain input-to-state stability properties.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2006
Accession Number
ADA459072

Entities

People

  • Francesco Bullo
  • Sara Susca
  • Sonia Martı́nez

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Communication Networks
  • Communication Systems
  • Convex Bodies
  • Data Fusion
  • Detectors
  • Eigenvalues
  • Equations
  • Monitoring
  • Networks
  • Sensor Networks
  • Simulations
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Calculus or Mathematical Analysis
  • Distributed Systems and Data Platform Development
  • Graph Algorithms and Convex Optimization.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control