Authors:
P. Skobelev
1
;
E. Simonova
1
;
A. Ivanov
2
;
I. Mayorov
3
;
V. Travin
3
and
A. Zhilyaev
1
Affiliations:
1
Samara State Aerospace University, SEC “Smart Solutions" and Ltd, Russian Federation
;
2
École Polytechnique Fédérale de Lausanne, Switzerland
;
3
SEC “Smart Solutions" and Ltd, Russian Federation
Keyword(s):
Microsatellite, Ground Station, Multi-Agent Technology, Communication Session, Ontology, Data-Stream Scheduling, Agent, Real Time.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Co-Evolution and Collective Behavior
;
Computational Intelligence
;
Evolutionary Computing
;
Evolutionary Robotics and Intelligent Agents
;
Soft Computing
;
Swarm/Collective Intelligence
Abstract:
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.