Virtual Force-Guided Particle Swarm Optimization Algorithm for Fan-Shaped Sensor Area Coverage Optimization

In this text, we introduce a virtual force-guided particle swarm optimization (VFPSO) algorithm designed to optimize area coverage for fan-shaped sensors. The algorithm operates by simulating particle dynamics and mutual interactions to determine optimal sensor positions, thereby achieving maximum coverage efficiency. Key implementation aspects include: - Particle initialization with random positions and velocities within the target area - Virtual force calculations based on sensor overlap and coverage gaps - Fitness evaluation using coverage rate metrics - Velocity and position updates guided by particle best positions and global optima By employing this algorithm, we enhance the coverage range and detection capabilities of fan-shaped sensors, making them more effective for real-world applications such as surveillance systems or environmental monitoring. The iterative optimization process ensures balanced sensor distribution while minimizing blind spots through systematic force-directed adjustments.