Motion Detector Placement Optimization in Smart Homes for Inhabitant Location Tracking

Abstract : The aim of the paper is to provide an optimal placement of sensors for inhabitant location tracking in smart homes, by using only motion detectors. In particular, motion detectors are binary sensors largely used in ambient assisted living applications because they are low cost, non-intrusive and privacy sensors. An approach to optimize the placement of motion detectors in a real home environment by adopting a two-dimensional grid is presented. In this context, the real coverage area of a sensor is computed by considering the obstacles and respecting the specified coverage performance requirements. The optimization problem is formalized and solved as an Integer Linear Programming (ILP) problem and a case study is presented to show the efficacy of the proposed approach.
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https://hal.archives-ouvertes.fr/hal-01357687
Contributor : Jean-Jacques Lesage <>
Submitted on : Tuesday, August 30, 2016 - 12:21:05 PM
Last modification on : Friday, February 17, 2017 - 4:12:27 PM

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Maria Pia Fanti, Michele Roccotelli, Jean-Jacques Lesage, Gregory Faraut. Motion Detector Placement Optimization in Smart Homes for Inhabitant Location Tracking. ETFA'16: 21st IEEE Int. Conf. on Emerging Technologies and Factory Automation, Sep 2016, Berlin, Germany. ⟨hal-01357687⟩

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