Dynamic collaborative planning method of earth observation resources based on contract network

Satellite, UAV and other earth observation resources have become the main observation means to carry out various monitoring tasks, such as disaster rescue, disaster damage assessment, etc. Random adjustment and dynamic execution environment of large-scale tasks are the core problems to quickly develop earth observation programs. In view of the above problems, a dynamic collaborative planning method for earth observation resources in uncertain conditions is proposed to dynamically and efficiently develop the cooperative observation scheme of heterogeneous resources. First, a bottom-up distributed dynamic cooperative framework is proposed based on the contract network protocol to integrate the heterogeneous observation resources of air-space-ground and to build a distributed, dynamic and loosely coupled cooperative observation network. Then, based on the above collaborative framework, a multi-round combination allocation method and an optimization algorithm are proposed to allocate large-scale monitoring tasks rapidly and dynamically. Finally, the results of simulation experiment show that the dynamic collaborative planning method based on contract network improves the task completion rate by about 25% and reduces the collaborative planning time by about 20% in the dynamic uncertain conditions with continuous task concurrency, which achieves the balance between task completion efficiency and method running time.