Knowledge based system for reliable perimeter protection using sensor networks

Constantin Voloencu; Daniel Loan Curiae; Ovidiu Banias; Alex Doboli; Octavian Dranga

Knowledge based system for reliable perimeter protection using sensor networks

Constantin Voloencu
, Daniel Loan Curiae
, Ovidiu Banias
, Alex Doboli
, Octavian Dranga

Electrical Engineering

Politehnica University of Timisoara
James Cook University Queensland

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.

Original language	English
Pages	51-56
Number of pages	6
State	Published - 2007
Event	WINSYS 2007 - 2nd International Conference on Wireless Information Networks and Systems - Barcelona, Spain Duration: Jul 28 2008 → Jul 31 2008

Conference

Conference	WINSYS 2007 - 2nd International Conference on Wireless Information Networks and Systems
Country/Territory	Spain
City	Barcelona
Period	07/28/08 → 07/31/08

Keywords

knowledge based systems
Neural networks
Perceptron
Perimeter protection
Redundancy
Wireless sensor networks

Cite this

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title = "Knowledge based system for reliable perimeter protection using sensor networks",

abstract = "This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.",

keywords = "knowledge based systems, Neural networks, Perceptron, Perimeter protection, Redundancy, Wireless sensor networks",

author = "Constantin Voloencu and Curiae, \{Daniel Loan\} and Ovidiu Banias and Alex Doboli and Octavian Dranga",

year = "2007",

language = "English",

pages = "51--56",

note = "WINSYS 2007 - 2nd International Conference on Wireless Information Networks and Systems ; Conference date: 28-07-2008 Through 31-07-2008",

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TY - CONF

T1 - Knowledge based system for reliable perimeter protection using sensor networks

AU - Voloencu, Constantin

AU - Curiae, Daniel Loan

AU - Banias, Ovidiu

AU - Doboli, Alex

AU - Dranga, Octavian

PY - 2007

Y1 - 2007

N2 - This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.

AB - This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.

KW - knowledge based systems

KW - Neural networks

KW - Perceptron

KW - Perimeter protection

KW - Redundancy

KW - Wireless sensor networks

UR - https://www.scopus.com/pages/publications/67650264401

M3 - Paper

AN - SCOPUS:67650264401

SP - 51

EP - 56

T2 - WINSYS 2007 - 2nd International Conference on Wireless Information Networks and Systems

Y2 - 28 July 2008 through 31 July 2008

ER -

Knowledge based system for reliable perimeter protection using sensor networks

Abstract

Conference

Keywords

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Cite this