An optimal deployment method of heterogeneous sensors for multi-agent collaborative detection tasks

• Published in: Aerospace systems (Online) 2023-06, Vol.6 (2), p.249-257
• Main Authors: He, Yangguang, Xiao, Gang, Ding, Chunshan, Zeng, Liu
• Format: Article
• Language: English
• Subjects: Aerospace Technology and Astronautics; Engineering; Original Paper; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics
• ISSN: 2523-3947; 2523-3955
• DOI: 10.1007/s42401-022-00171-9

A space-based heterogeneous sensor deployment optimization method for multi-agent cooperative detection tasks is proposed to solve the problem of limited deployment of space-based platforms and incomplete sensing information of target areas in multi-agent cooperative detection in the sea surface area. First, a heterogeneous sensor detection model is established by considering the complex detection environment and combining the data characteristics of the sensors. Then, the detection probability of the sensors to the target is adopted as the deployment performance index. Finally, considering the regional deployment requirements, the optimal deployment model of sensor resources is constructed. The sparrow search algorithm (SSA) is used to solve the optimal deployment problem. The simulation results show that the proposed optimization method can effectively improve the overall information perception capability of the mission area under the constraints of ensuring the coverage perception of key areas in multi-agent collaborative detection and restricted sensor deployment locations. Compared with the classical particle swarm search algorithm, SSA has better convergence and a shorter search time for solving the problem. The research can provide technical support for resource allocation in multi-agent sensor management.