An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.


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    Titel :

    UNMANNED AERIAL VEHICLE (UAV) TASK COOPERATION METHOD BASED ON OVERLAPPING COALITION FORMATION (OCF) GAME


    Beteiligte:
    QI NAN (Autor:in) / HUANG ZANQI (Autor:in) / YE DILIAO (Autor:in) / JIA LULIANG (Autor:in) / SU YUEYUE (Autor:in) / WANG KEWEI (Autor:in) / WANG WEI (Autor:in) / LIU YIJIA (Autor:in)

    Erscheinungsdatum :

    2023-03-09


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge / H04B TRANSMISSION , Übertragung



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