Abstract—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.

Index Terms—Connectivity, coverage, genetic algorithm, lighting, optimization, weighted-sum method, WSAN.

S. E. Bouzid is with MARS Research Laboratory, LR 17ES05, Sousse University, Technopole of Sousse, 4054, Sousse, Tunisia and LAUM Acoustics Laboratory of University of Le Mans, UMR CNRS 6613, Le Mans 72017 Cedex, France. Y. Serrestou is with LAUM Acoustics Laboratory of University of Le Mans, UMR CNRS 6613, Le Mans 72017 Cedex, France. M. Mbarki is with MARS Research Laboratory, LR 17ES05, Sousse University, Technopole of Sousse, 4054, Sousse, Tunisia. K. Raoof is with LAUM Acoustics Laboratory of University of Le Mans, UMR CNRS 6613, Le Mans 72017 Cedex, France. M. N. Omri is with MARS Research Laboratory, LR 17ES05, Sousse University, Technopole of Sousse, 4054, Sousse, Tunisia. C. Dridi is with NANOMISENE Laboratory, LR16CRMN01, Centre for Research on Microelectronics and Nanotechnology of Sousse, 4054, Sousse, Tunisia.

Cite:S. E. Bouzid, Y. Serrestou, M. Mbarki, K. Raoof, M. N. Omri, C. Dridi, "Wireless Sensor and Actuator Network Deployment Optimization for a Lighting Control," International Journal of Computer and Communication Engineering vol. 9, no. 2, pp. 64-77, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).