Adaptive control of sensor networks for detection of percolating faults

Abhishek Srivastav, Asok Ray, Shashi Phoha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A complex network of interdependent components is susceptible to percolating faults. Sensor networks deployed for real-time detection and monitoring of such systems require adaptive re-distribution of resources for an energy-aware operation. This paper presents a statistical mechanical approach to adaptive self-organization of a sensor network for detection and monitoring of percolating faults. A complex dynamical system of interdependent components (e.g. computer and social network) is represented as an Ising-like model where component states are modeled as spins, and interactions as ferromagnetic couplings. Using a recursive prediction and correction methodology the sensor network is shown to adaptively selforganize to the dynamic environment and real-time detection and monitoring is enabled. The algorithm is validated on a test-bed simulating the operation 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.

Original languageEnglish (US)
Title of host publication2009 American Control Conference, ACC 2009
Pages5797-5802
Number of pages6
DOIs
StatePublished - Nov 23 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: Jun 10 2009Jun 12 2009

Other

Other2009 American Control Conference, ACC 2009
CountryUnited States
CitySt. Louis, MO
Period6/10/096/12/09

Fingerprint

Sensor networks
Monitoring
Computer viruses
Adaptive systems
Complex networks
Large scale systems
Dynamical systems
Pollution

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Srivastav, A., Ray, A., & Phoha, S. (2009). Adaptive control of sensor networks for detection of percolating faults. In 2009 American Control Conference, ACC 2009 (pp. 5797-5802). [5160017] https://doi.org/10.1109/ACC.2009.5160017
Srivastav, Abhishek ; Ray, Asok ; Phoha, Shashi. / Adaptive control of sensor networks for detection of percolating faults. 2009 American Control Conference, ACC 2009. 2009. pp. 5797-5802
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Srivastav, A, Ray, A & Phoha, S 2009, Adaptive control of sensor networks for detection of percolating faults. in 2009 American Control Conference, ACC 2009., 5160017, pp. 5797-5802, 2009 American Control Conference, ACC 2009, St. Louis, MO, United States, 6/10/09. https://doi.org/10.1109/ACC.2009.5160017

Adaptive control of sensor networks for detection of percolating faults. / Srivastav, Abhishek; Ray, Asok; Phoha, Shashi.

2009 American Control Conference, ACC 2009. 2009. p. 5797-5802 5160017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Srivastav A, Ray A, Phoha S. Adaptive control of sensor networks for detection of percolating faults. In 2009 American Control Conference, ACC 2009. 2009. p. 5797-5802. 5160017 https://doi.org/10.1109/ACC.2009.5160017