Abstract-This correspondence paper deals with the sensor placement optimization problem in the context of indoor multiple inhabitants location tracking to solve ambient assisted living problems. Binary sensors, like passive infrared (PIR) sensors, are used to guaranty specific coverage requirements and allow privacy respecting. Moreover, within real home environments, different kinds of obstacles (like walls, high furniture, etc.) can affect the detection capacity of PIR sensors. This paper proposes an integrated framework devoted to optimize the placement of sensors and PIR sensors in smart homes by taking into account physical topologies and coverage precision constraints. An integer linear programming problem is formalized and a case study illustrates the applicability of the proposed approach and the scalability of the optimization method. Index Terms-Ambient assisted living (AAL), binary sensors, integer linear programming (ILP), smart home.
REF proposes a method for optimizing the placement of PIR sensors in order to meet the desired accuracy requirements while minimizing the cost.
An Integrated Framework for Binary Sensor Placement and Inhabitants Location Tracking
IEEE Transactions on Systems, Man, and Cybernetics: Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Computer Science