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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Sparse Law of Deep-Space Communication: A Unified Theory of Feasibility, Efficiency, and Architectural Design

Authors: Councilman, J.;

The Sparse Law of Deep-Space Communication: A Unified Theory of Feasibility, Efficiency, and Architectural Design

Abstract

Deep-space communication networks operate under sparse, intermittent, and geometry-constrained connectivity. This work develops the Sparse Law, an exact factorization of end-to-end delivery ratio into structural feasibility and protocol efficiency: DR = STfull · η. Key results (v3): 7-configuration cislunar ablation study (31,500 bundles, 15 seeds, Bonferroni-corrected) CTMC efficiency bound: η0 = s/(s+1), confirmed at multiple operating points Mars cross-regime test: Mars relay (2-hop) yields η ≈ 0.97 vs cislunar (3–4 hop) η ≈ 0.68, confirming η0 is architecture-dependent — per-hop overhead δ accumulates over relay depth Contact-density sufficiency under renewal assumptions; non-ergodic degradation proved by construction Efficiency–feasibility anticorrelation under bounded-rationality routing Temporal percolation theory connections (directed percolation, event-graph mapping) Supplemented by the open-source TIN simulator and the percolation engine for Mars/cislunar DTN analysis.

Keywords

Orekit, Delay-Tolerant Networking, delay-tolerant networking, BPv7, cislunar, Mars relay, cislunar communications, deep-space communication, temporal percolation, contact graph routing, DTN, constellation design, sparse law, LunaNet

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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