Multi-sensor Area Deployment Optimization Method Based on Improved Cuckoo Search Algorithm
Yanjun Wang, Guoping Zhang · 2021 IEEE International Conference on Unmanned Systems (ICUS) · 2021
Aiming at the problem that the detection range of sensors in a specific area on the sea cannot meet the coverage requirements, a multi-sensor area deployment detection blind compensation model is proposed. On the basis of the sensor detection model, the sensor area coverage model is established with the coverage area as an indicator; the sensor movement cost model is established according to the movement of non-fixed sensors (the sensor is deployed on a mobile platform); Draw lessons from the theory of electric charges being forced in the electric field the cuckoo algorithm (CS) is improved according to the detection model, and a multi-sensor area deployment detection blind compensation method based on the improved cuckoo search algorithm (R-CS) is proposed. Comparing the R-CS algorithm with the basic CS algorithm, the simulation results show that the improved algorithm has improved the convergence speed and accuracy.