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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2022, Vol. 43 ›› Issue (2): 324939-324939.doi: 10.7527/S1000-6893.2021.24939

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

UAV communication coverage model based on pheromone map

REN Shaorui1, LU Zhongmei1,2, SHI Yuanming3, LI Lixin4, CHEN Wei1   

  1. 1. Electronic Engineering, Tsinghua University, Beijing 100084, China;
    2. Guizhou Vocational Technology College of Electronics & Information, Guizhou 556000, China;
    3. School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
    4. School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China
  • Received:2020-11-03 Revised:2020-12-14 Published:2021-03-26
  • Supported by:
    National Key R&D Program of China(2018YFB1801100, 2018YFA0701600)

Abstract: Due to the high flexibility and good coverage capability of UAV, it is popular to choose multi-UAV for efficient communication coverage in practical applications. However, the requirements for the multi-UAV system with flexibility, low delay, long endurance and security need to be considered. To improve the continuous communication coverage capability of UAV, in the case of relatively sparse UAV, this paper proposes a method for UAV dynamic planning communication coverage, in which the pheromone map is employed and the turning radius of UAV is limited, so as to ensure flexibility, low delay and long endurance of the UAV. By introducing anchor nodes, the interaction model of pheromone guidance information is designed to ensure security of the UAV. Compared with the semi random heading method, the method proposed is much better than in terms of the maximum access time interval of the area to be covered, and can reduce the average access time interval by about 15%. Compared with the general pheromone map without geographical value description, the method proposed can reduce the average access time interval and the maximum access time interval of the method by about 6%. Through decoupling between UAVs, this method can avoid the asynchronous problem between UAVs.

Key words: pheromone map, multiple UAV, communication coverage, distributed, corner limit

CLC Number: