Smart placement of motion sensors in a home environment

Abstract

This paper deals with the smart placement of motion sensors in smart homes for Ambient Assisted Living, by considering the sensor technology and cost and respecting specific coverage requirements. The core of the proposed methodology is a decision module that can optimize the sensors placement according to different objectives. More precisely, the main objective is the minimization of costs of the deployed sensors. Moreover, the second objective can be the maximization of the overlapping in order to find a robust solution or the minimization of the overlapping of the detection areas in order to improve the inhabitant localization. A case study demonstrates the effectiveness of the proposed strategy on sensors placement in a domestic environment.

Use of Clustering Algorithms for Sensor Placement and Activity Recognition in Smart Homes

“…A decision-making tool to help experts to do the best choice for sensors deployment is under development to minimize costs and the overlapping of motion sensor detections in a home environment [21], [22]. Their method represents the motion sensors in a space as binary grids and then integer linear programming techniques are applied to optimize their placement, as applied in [9].…”

“…The works in [22] and [24] have applied their sensor placement optimization methods to localization accuracy. They indicate as future work their application to activity recognition, which should give more value for functions in smart homes.…”

“…In addition, our method can be used to shed light to the best placement of sensors and use this as a guideline for future installations. Also, the knowledge can be transferred to other sensors than motion, as in [22], [24], and [25].…”