Node Default Detection and Optimal Placement of Nodes in WSN
K. Nikhith, S. Sriram, C. Fancy · 2024
The project aims to improve network coverage and connectivity by presenting a dynamic deployment and optimization approach for Wireless Sensor Networks (WSNs). The suggested approach is centered on the progressively installing sensor nodes in a designated region and the optimization of their placements to efficiently fill up coverage gaps. The system uses Particle Swarm Optimization (PSO), default node detection, and dynamic node placement methods to accomplish the goals.The code adjusts node placements based on transmission range and wavelength parameters by iterating through several cycles. Using distance criteria, faulty nodes are identified, and network coverage gaps are filled by applying optimization algorithms. The approach’s efficacy in enhancing computing efficiency and network coverage is demonstrated through experimental research. The findings emphasize how crucial optimization and dynamic deployment techniques are to raising wireless sensor network performance for a range of uses.