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

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 w...

Full description

Saved in:
Bibliographic Details
Main Authors WANG, Kewei, WANG, Wei, YE, Diliao, LIU, Yijia, SU, Yueyue, HUANG, Zanqi, JIA, Luliang, QI, Nan
Format Patent
LanguageEnglish
Published 09.03.2023
Subjects
AEROPLANES
AIRCRAFT
AVIATION
CONTROLLING
COSMONAUTICS
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HELICOPTERS
PERFORMING OPERATIONS
PHYSICS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSMISSION
TRANSPORTING
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: US202217579610