Nanjing University of Aeronautics and Astronautics

Kewei Wang

Wei Dong Wang

Luliang Jia

Nan Qi

Diliao Ye

Yijia Liu

Zanqi Huang

Yueyue Su

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.

Unmanned aerial vehicle (UAV) task cooperation method based on overlapping coalition formation (OCF) game

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Nanjing, China

Kewei Wang