Application of Multi-agent Technology in the Scheduling System of Swarm of Earth Remote Sensing Satellites

Abstract

The paper studies the problem of scheduling a group of Earth remote sensing satellites. The following idea is proved: development of Earth remote sensing systems needs changing of approach to planning of their application. Problem statement is described. As criteria of efficiency, information delivery time, resolution and cost of request execution are used. The schedule has to comply with the following constraints: visibility between satellites, observation areas and data receiving points, storage capacity of the memory unit as well as coordination of operations on shooting, storing, transmitting and receiving data. Review of ways of problem solution is provided. Implementation of the approach has been suggested, where the sought schedule is built as dynamic balancing of interests of satellites, data receiving points and observation area agents. Multi-agent planning system is developed. Architecture of the system is described as well as functions of the modules it includes. Dynamically occurring events are taken into account when planning, including introduction of a new task or change of task options, failure of a satellite or means of communication. The experimental assessment of time spent on recovery of the damaged schedule is given. In conclusion benefits of the multi-agent approach at management of swarm of Earth remote sensing satellites are provided.