Osamy, W., Khedr, A.M., Salim, A., Ali, A.I.A. and El-Sawy, A.A. (2022) Coverage, Deployment and Localization Challenges in Wireless Sensor Networks Based on Artificial Intelligence Techniques: A Review. IEEE Access, 10, 30232-30257.
https://doi.org/10.1109/access.2022.3156729

has been cited by the following article:

• TITLE: An Efficient Placement Approach of Visual Sensors under Observation Redundancy and Communication Connectivity Constraints

  AUTHORS: Yves Faga, Frantz Tossa, Wahabou Abdou, Julien Dubois

  KEYWORDS: Visual Sensor Networks (VSNs), Deployment Optimization, Overall Coverage, Zones of Interest Observation, Connectivity

  JOURNAL NAME: Journal of Computer and Communications, Vol.13 No.10, October 10, 2025

  ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking data quality to camera positioning. Deploying multiple cameras strategically in complex areas while maintaining node communication is a key challenge. This paper proposes a method for optimizing VSN deployment in 2D indoor environments. The approach integrates multi-objective optimization criteria: maximizing overall coverage, observing zones of interest, ensuring redundancy, and maintaining communication connectivity. The method simulates environments with cameras, obstacles, and zones of interest, evaluating camera placement based on defined objectives. By optimizing camera positions and orientations, the method achieves up to 100% coverage, even in areas with obstacles. Compared to existing approaches, this method consistently ensures high coverage and communication connectivity, making it more effective in challenging indoor environments.