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Signal, Image and Video Processing

, Volume 4, Issue 1, pp 99–104 | Cite as

Self-organization of sensor networks for detection of pervasive faults

  • Abhishek Srivastav
  • Asok RayEmail author
Original Paper
  • 73 Downloads

Abstract

Resource aware operation of sensor networks requires adaptive re-organization to dynamically adapt to the operational environment. A complex dynamical system of interacting components (e.g., computer network and social network) is represented as a graph, component states as spins, and interactions as ferromagnetic couplings. Using an Ising-like model, the sensor network is shown to adaptively self-organize based on partial observation, and real-time monitoring and detection is enabled by adaptive redistribution of limited resources. The algorithm is validated on a test-bed that simulates the operations of a sensor network for detection of percolating faults (e.g. computer viruses, infectious disease, chemical weapons, and pollution) in an interacting multi-component complex system.

Keywords

Sensor network Graph theory Ising model Pervasive faults 

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Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringThe Pennsylvania State UniversityUniversity ParkUSA

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