Fuzzy-Based Intelligent Sensors: Modeling, Design, Application
Eric Benoit (LISTIC, Lamii), Richard Dapoigny (LISTIC, Lamii), Laurent, Foulloy (LISTIC, Lamii)

TL;DR
This paper introduces a fuzzy-based modeling approach for intelligent sensors, focusing on their service representations and user operating modes, and demonstrates its application within agent-based sensor systems.
Contribution
It proposes a novel fuzzy-based modeling framework for intelligent sensors and integrates it into the agent-level reactive layer of distributed sensor systems.
Findings
Fuzzy modeling effectively represents sensor services and modes.
Application demonstrates improved sensor system design.
Framework supports agent-based sensor system development.
Abstract
This paper presents a modeling of intelligent sensors based on a representation of the sensor by services it uses or it proposes, and by its USer Operating Modes (USOMs). This modeling is used for the definition of the reactive layer of distributed agent based intelligent sensors. Our area of interest is the agent-level layer in which the concept of IIC (Intelligent Instrument Cluster) is defined. An application that uses fuzzy-based intelligent sensors is presented in order to illustrate the concepts.
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