The paper describes the multi-agent system for scheduling of actions of a constellation of Earth remote sensing satellites. The functionality and architecture of the system are presented and the key scenarios of event processing are given, which demonstrate the advantages of multi-agent technology.
The objective of the paper is to discuss the increasing complexity of modern space traffic in the near-Earth space and outline the new approach for solving the problem. The requirements and functionality of digital platform for traffic management are presented and examples of problem solving are given. The developed approach will create new opportunities for managing space traffic and resources of the mission control centers for a large number of spacecrafts. Possible approaches to description of spacecraft flights are given. Methods and tools for optimizing the use of ground control complexes to manage large-scale orbital groups have been discussed. Creation of the digital platform and eco-system of smart services for space traffic management will solve the most important problem of space traffic management to increase the effectiveness of the created satellites groups and to protect the spacecrafts from space waste and debris.
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.
The paper suggests a multi-agent approach to planning of a spacecraft group for Earth remote sensing. The main constraints as well as assessment criteria of a spacecraft group planning efficiency are provided. Such a planning method is suggested, where the sought work schedule is built as a dynamic balance of spacecraft agents, observation area agents and data receiving point agents. Classes of agents as well as protocols of their interaction are described in the paper. There are considered conflict situations that occur between agents. The paper reports a planning system developed for target application of a spacecraft group, and proves the advantages of multi-agent approach to the management of a spacecraft group for Earth remote sensing.
In recent years, the interest for space missions involving multiple satellites has been rapidly growing. This trend is responsible for an increasing need for management strategies able to coordinate the different satellites and to allocate tasks among them. In most existing systems, the management of a cluster of satellites is organized centrally and statically, which significantly reduces the responsiveness to changes in the target environment. Our research aims at designing a distributed dynamic management system where tasks are assigned to a whole constellation of satellites and their performers can adaptively change depending on emerging events. In this paper, we explore the potentiality of multi-agent technology and ontology to develop an intelligent space system. We describe our software prototype and how it can be applied to the planning problem of remote sensing satellites. In this solution, each satellite has been represented as an agent enabling communication, coordination, and negotiation among the other agents to achieve intended business goals. Moreover, we present the results of experiments showing the advantages of the proposed approach.
Multi-agent technologies application for adaptive planning of communication sessions establishment requests with nanosatellites in the ground stations network in response to the arising events, considering constraints, is considered. Mathematical problem statement of adaptive communication sessions scheduling is given. Method of coupled interactions extension based on the demand-resource networks model for operative requests allocation for communication sessions between ground stations and nanosatellites implementation is described.
The problem of constructing an effective mechanism for rapid transmission of data between microsatellites and network of ground stations in the dynamically changing environment is considered. Multi-agent approach to solving this class of problems is proposed. The ontology, agents, interaction protocols and key benefits of proposed system are discussed.
The problem of designing an effective models and methods for data transmission between group of microsatellites and network of ground stations in the dynamically changing environment is considered. Multi-agent technology for solving the problem by adaptive resource allocation and scheduling is proposed. It is shown that solution of the considered complex problem evolutionary emerges from interaction and trade-offs of many agents which continuously self-organize themselves and change decisions to improve their objectives and the objectives of the system as a whole. The advantages of multi-agent solution are high adaptability, flexibility and efficiency of services. The main classes of agents, ontology of problem domain, interaction protocols, results of first experiments with system prototype and key benefits of proposed system are discussed.