Wireless Sensor and Actuator Network Deployment Optimization for a Lighting Control

Wireless Sensor and Actuator Networks (WSANs) are widely used in smart control system as home automation, military service, etc. They consist of hundreds of heterogeneous nodes. Due to this high density, finding an optimal deployment becomes a NP-Hard task. So, determining different node positions, that ensure the highest QoS of these networks, is the most significant challenges. In this paper, we study this problem for light control application. We expose our models for coverage, connectivity and lighting metrics. These proposed models, are adapted and validated by real measurements. The optimization approach is based on Genetic Algorithm for both regular and random deployment. The proposed approach is evaluated for different lighting space shapes, and the results are presented and compared to other studies.