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Acta Aeronautica et Astronautica Sinica ›› 2026, Vol. 47 ›› Issue (6): 332636.doi: 10.7527/S1000-6893.2025.32636

• Electronics and Electrical Engineering and Control • Previous Articles    

Real-time task scheduling algorithm for FANET considering communication topology control

Peizhao WANG1, Ming HE1,2,3, Haihua CHEN1,4(), Hongpeng WANG5,6   

  1. 1.College of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China
    2.Engineering Research Center of Thin Film Optoelectronics Technology,Ministry of Education,Tianjin 300350,China
    3.Tianjin Key Laboratory of Optoelectronic Thin Film Devices and Technology,Tianjin 300350,China
    4.Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology,Tianjin 300350,China
    5.College of Artificial Intelligence,Nankai University,Tianjin 300350,China
    6.Shenzhen Research Institute,Nankai University,Shenzhen 518083,China
  • Received:2025-07-31 Revised:2025-09-11 Accepted:2025-10-23 Online:2025-10-31 Published:2025-10-30
  • Contact: Haihua CHEN E-mail:hhchen@nankai.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62373201);Technology Research and Development Program of Tianjin(18ZXZNGX00340)

Abstract:

The multiple Unmanned Aerial Vehicle (UAV) Flying Ad hoc Network (FANET), with its enhanced situational awareness and environmental adaptability, can effectively ensure real-time ground task search, allocation, and execution in applications requiring immediate monitoring. Given these application scenarios and task requirements, the key issue of collaborative optimization of real-time task scheduling and dynamic topology control during autonomous allocation in FANET is addressed: the real-time task scheduling ensures the timeliness requirements of monitoring tasks, and the dynamic topology control ensures the stable transmission of tasks and location data. Firstly, a joint optimization framework integrating auction mechanism and topology control based on dynamic value assessment is constructed. Secondly, through the introduction of a dynamic task value assessment model, dynamic task priority ranking and allocation are realized, and a topology control strategy based on minimum maintenance cost is designed. The cost of topology adjustment is reduced via a selective link maintenance mechanism. Finally, the complexity analysis demonstrates that the proposed algorithm can meet the requirements for efficient solution and real-time optimization in dynamic scenarios. The significant advantages of the proposed algorithm in terms of task response speed and topology stability are demonstrated through simulation experiments. This work provides both theoretical support and technical references for engineering scenarios requiring immediate response and precise monitoring.

Key words: UAV, Ad hoc network, real-time task scheduling, dynamic topology control, auction algorithm, collaborative optimization

CLC Number: