Ranking sensors using an adaptive fuzzy logic algorithm

Gil Shayer; Ofir Cohen; Ephraim Korach; Yael Edan

doi:10.1109/JSEN.2004.839596

Ranking sensors using an adaptive fuzzy logic algorithm

Gil Shayer
, Ofir Cohen
, Ephraim Korach
, Yael Edan

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A procedure to rank sensors according to their noise rates was developed based on an adaptive fuzzy logic algorithm for sensor fusion. No a priori knowledge of the sensors performance is assumed. Simulation analysis indicated 83.33% successful ranking with noise rates up to 50%. In an indoor experiment with a mobile robot equipped with three logical sensors, 88% of the rankings were correct. The ranking procedure also indicates the ranking results success probability.

Original language	English
Pages (from-to)	59-66
Number of pages	8
Journal	IEEE Sensors Journal
Volume	5
Issue number	1
DOIs	https://doi.org/10.1109/JSEN.2004.839596
State	Published - 1 Feb 2005

Keywords

Adaptive algorithm
Fusion
Logical sensors
Performance measures

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

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10.1109/JSEN.2004.839596

Cite this

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title = "Ranking sensors using an adaptive fuzzy logic algorithm",

abstract = "A procedure to rank sensors according to their noise rates was developed based on an adaptive fuzzy logic algorithm for sensor fusion. No a priori knowledge of the sensors performance is assumed. Simulation analysis indicated 83.33\% successful ranking with noise rates up to 50\%. In an indoor experiment with a mobile robot equipped with three logical sensors, 88\% of the rankings were correct. The ranking procedure also indicates the ranking results success probability.",

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KW - Fusion

KW - Logical sensors

KW - Performance measures

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Ranking sensors using an adaptive fuzzy logic algorithm

Abstract

Keywords

ASJC Scopus subject areas

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