Lunar Logistics Network: A Persistent Architecture for a Permanent Lunar Base (Complete Collection)

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Authors: Ernesto Gabriel Arias Fernandez
Cited by: 2

Abstract

Abstract Building a permanent lunar base requires more than isolated missions and heroic vehicles. It needs infrastructure. This paper proposes the Surface Network: an energy, logistics, and data network built on the Moon itself by interconnecting the landers as they arrive. Each lander, instead of dying of success, becomes an infrastructure node: it contributes energy, heat, storage, avionics, and pumping capacity to the whole. Connected by a multi-tubular hose that transports fluids, electricity, and data, the landers form a distributed propellant depot, a redundant electrical grid, and a collective thermal management system. The network is resilient (does not depend on individual nodes), scalable (grows with each new lander), flexible (reconfigurable in hours), replicable (can be established anywhere on the Moon), and acts as a transport platform for long-distance exploration. Beyond technology, this paper distinguishes four levels of abstraction — concept, model, implementation, and execution — and places its contribution in the first two. The Surface Network is not a closed design but a logical structure with its own emergent properties, independent of hardware or scale. The network is not an end. It is a means to something that does not yet exist but which we can already glimpse: a multi-planetary civilization that understands that its future is built not with missions but with infrastructure; not with visits but with permanence. Keywords: surface network, lunar infrastructure, permanent lunar base, infrastructure nodes, standardization, resilience, scalability, space logistics.

Fields of Study & Subjects

Space Exploration and Technology Planetary Science and Exploration Space exploration and regulation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 June 2026
Language
EN
Document type
Preprint