An Integrated Framework for Binary Sensor Placement and Inhabitants Location Tracking
针对室内多人位置追踪中的传感器布局优化问题，提出一个集成框架，考虑物理拓扑和覆盖精度约束，用整数线性规划优化二进制传感器（如PIR传感器）的放置，案例验证了方法的适用性和可扩展性。
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.