Multi-UAV Collaborative Live Broadcast Task Assignment Based on the Improved Wolf Pack Algorithm

With the help of unmanned aerial vehicles (UAVs), mobile ultrahigh definition (UHD) live broadcast systems can not only provide UHD images from multiple angles, but also monitor situations in live broadcast scenes in real time, thus providing a better user experience. However, owing to the restricted flight and edge computing capabilities of UAVs, how to optimise the assignment strategy when multiple UAVs perform tasks collaboratively becomes pivotal for system performance. In this paper, we optimise the multi-UAV collaborative task assignment strategy by improving the wolf pack algorithm (WPA). The strategy incorporates the ideas of crossover, replication, and mutation in genetic algorithms in the process of position updating, and improves the update mode of new population individuals. In addition, the strategy introduces the idea of auction algorithm to correct the infeasible solution that violates the constraints to obtain the optimal strategy. The simulation results show that the proposed algorithm can effectively solve the collaborative task assignment problem with better stability and convergence.