An agent-based clustering framework for reliable satellite networks

Sunyue Geng, Sifeng Liu, Zhigeng Fang and Su Gao

Reliability Engineering and System Safety, 2021, vol. 212, issue C

Abstract: Agent technique is applied to deal with varying demands and satellites are specifically modeled as agents with autonomy and responsiveness. While most studies introduce efficient agent-based satellite networks, the efficiency of satellite operation that reflects network performance needs to be quantified. Moreover, it is still difficult to configure and manage large-scale networks with existing frameworks as a result of resource limitations. This paper proposes a practical framework for satellite networks to solve these issues by means of agent-based modeling, clustering technique and game theory. An agent hierarchical structure including three control levels is designed for single satellite to manage components. According to the structure, a novel indicator named effectiveness is presented for efficiency assessment. A clustering network framework is proposed to guarantee the stability and scalability, leading to lifetime maximization in resource–critical situations. Furthermore, a collaborative routing scheme based on the Nash bargaining solution is introduced to obtain the globally optimal route. Case analysis shows that the superiority of the proposed framework compared with state-of-the-art algorithms in terms of reliability improvement and energy efficiency while maintaining low network delay.

Keywords: Reliable satellite networks; Agent-based modeling; Clustering technique; Game theory (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:212:y:2021:i:c:s095183202100171x

DOI: 10.1016/j.ress.2021.107630

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