Real Time Scheduling of Data Transmission Sessions in a Microsatellites Swarm and Ground Stations Network Based on Multi-Agent Technology

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.

A two-layer tabu search-based distributed satellite online collaboration method for batch arrival emergency tasks

“…In contrast to centralized methods, distributed methods have become a research hotspot due to their reliability, flexibility, and decentralized architecture design6. Distributed methods typically use multi-agent theory for problem modeling, and their solution methods mainly include auction-based mechanisms 6,7 and game theory methods 8 . Among them, game theory methods require extensive negotiation and communication between individuals to reach a Nash equilibrium, which is not suitable for distributed satellite systems with high communication costs.…”