arXiv (All)
open access
Sea-State-Induced Performance Transition in Maritime Networks: A Roughness-Aware Stochastic Geometry Framework
Analytical studies of maritime wireless networks commonly assume a deterministic smooth sea surface, leaving unclear how realistic ocean conditions reshape network-level reliability. Unlike conventional intuition that sea roughness always deteriorates propagation, this work reveals a non-monotonic s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks#658909
- Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks#656773
- Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks#471202
- Reduced spread of nodes in spatial network models improves topology associated with increased computational capabilities#152628
- Extending Residual-Mean Overturning Theory to the Topographically Localized Transport in the Southern Ocean#280758
Record · ID 1064441
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive