Smart Satellite

A. Zhilyaev, E. Simonova, P. Skobelev. Using multi-agent technology for distributed management of cluster of remote sensing satellites // Proceedings of the International Conference on Complex Systems in Business, Administration, Science and Engineering (Complex Systems 2015), 12 - 14 May, 2015, New Forest, UK. 2015.

In recent years, the interest for space missions involving multiple satellites is 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 cluster of satellites is organized centrally and statically. That 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 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.

P. Skobelev, E. Simonova, A. Ivanov, I. Mayrov, V. Travin, A. Zhilyaev. Real time scheduling of data transmission sessions in the microsatellites swarm and ground stations network based on multi-agent technology. Proceedings of the 6th International Conference on Evolutionary Computation Theory and Applications (ECTA 2014), October 22-24 2014, Rome, Italy. SciTePress, 2014. pp. 153-159.

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.

I. Belokonov, P. Skobelev, E. Simonova, V. Travin, A. Zhilyaev. Multi-Agent planning of the network traffic between nanosatellites and ground stations // Proceedings of the 65th International Astronautical Congress (IAC 2014), Toronto, Canada, September 29 October 03, 2014. IAC-14. 

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.

P. Skobelev, A. Ivanov, E. Simonova, V. Travin, A. Jilyaev. Multi-agent scheduling of communication sessions between microsatellites and ground stations network // . 2014. 2(12). . 92-100.

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.





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