Dynamic Tasks Scheduling Model for UAV Cluster Flexible Network Architecture
Ting Duan, Weiping Wang, Tao Wang, Meigen Huang, Xiaobo Li, Hua He · 2020 3rd International Conference on Unmanned Systems (ICUS) · 2020
The network architecture design of the UAV cluster is an important basis for the development and operation of unmanned combat equipment. The current UAV cluster network architecture cannot dynamically schedule the unfinished task nodes in the process of task scheduling. This paper proposes a flexible network scheduling model (FNSM) for cluster task scheduling. Drawing on the adaptive thinking of the “Mosaic War” of DARPA, the model is described by using the theoretical method of hypernetwork, forming the appropriate variable network, and the capability value is stratified by the fuzzy theory membership degree according to the capability requirements of the mission. And according to the needs of the model, a design scheduling algorithm based on alternative measures (TSA) is designed. Finally, a case of recovering lost land is designed, and two algorithms, TSA and Max-Min, are respectively used for simulation verification. The results preliminarily prove the effectiveness of the TSA algorithm under the FNSM model.