Research on in-orbit self-organizing network strategy for cellularized spacecraft based on improved AODV protocol

The cellularized spacecraft is composed of cellularized monomers, capable of in-orbit assemble, reconstructed and maintenance, and is one of the important direction for developing the large-scale spacecrafts in the future. The communication network self-organization between cellularized monomers is the guarantee for the smooth construction of the system in orbit, but there is still a lack of research on this. Based on system characteristics, the cellularized monomers of the cellularized spacecraft are divided into three levels: main brain cell, functional cell, and payload bearing cell, according to their functional characteristics. The in orbit construction process is described, and the integrity of the cellularized spacecraft self-organization network is defined. A self-organization network strategy based on the traditional AODV routing protocol is also designed, which considers the connectivity performance of nodes in the routing path, path distance, path energy, and congestion status. This strategy selects the optimal path, and prioritizes routes that contain high-energy functional cells for cellularized spacecraft, and the path information is updated by the intermediate cells when returned. Simulation experiments show that this strategy can effectively reduce the system power consumption and average delay of cellularized spacecraft in the orbit construction scenario, improve the network survival time, increase throughput, reduce packet loss rate and optimize the network topology. The scaled experiments of the ground cellularized spacecraft prototype show that the present strategy has good applicability in similar scenarios and different situations.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-18
DOI
https://doi.org/10.1051/jnwpu/20254310099/pdf
Primary Topic
Spacecraft Dynamics and Control
Type
article
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article

Research on in-orbit self-organizing network strategy for cellularized spacecraft based on improved AODV protocol

Springer Link (Chiba Institute of Technology)
Spacecraft Dynamics and Control
article

Research on in-orbit self-organizing network strategy for cellularized spacecraft based on improved AODV protocol

article en

Abstract

The cellularized spacecraft is composed of cellularized monomers, capable of in-orbit assemble, reconstructed and maintenance, and is one of the important direction for developing the large-scale spacecrafts in the future. The communication network self-organization between cellularized monomers is the guarantee for the smooth construction of the system in orbit, but there is still a lack of research on this. Based on system characteristics, the cellularized monomers of the cellularized spacecraft are divided into three levels: main brain cell, functional cell, and payload bearing cell, according to their functional characteristics. The in orbit construction process is described, and the integrity of the cellularized spacecraft self-organization network is defined. A self-organization network strategy based on the traditional AODV routing protocol is also designed, which considers the connectivity performance of nodes in the routing path, path distance, path energy, and congestion status. This strategy selects the optimal path, and prioritizes routes that contain high-energy functional cells for cellularized spacecraft, and the path information is updated by the intermediate cells when returned. Simulation experiments show that this strategy can effectively reduce the system power consumption and average delay of cellularized spacecraft in the orbit construction scenario, improve the network survival time, increase throughput, reduce packet loss rate and optimize the network topology. The scaled experiments of the ground cellularized spacecraft prototype show that the present strategy has good applicability in similar scenarios and different situations.

Springer Link (Chiba Institute of Technology)
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Spacecraft Dynamics and Control
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