Poster: Can Betweenness Centrality Mitigate Greedy Routing’s Sparse Network Problem?

Geographic greedy routing in sparse L-band Digital Aeronautical Communications System (LDACS) Air-to-Air (A2A) networks, typical during the system’s gradual deployment, often becomes stuck in local minima, requiring backup mechanisms. Instead of relying on such reactive measures, we propose combining the geographic advance metric with local Betweenness Centrality (BC). While global BC is infeasible due to its reliance on full network knowledge, our results show that local BC strongly correlates with its global counterpart. We further develop Subset Betweenness Centrality Routing (S-BCR), a protocol that combines local BC and geographic advance. We demonstrate through proof-of-concept simulations that it achieves higher routing success rates than either metric alone, all within tight beacon-size limits.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/vnc64509.2025.11054179
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32
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article

Poster: Can Betweenness Centrality Mitigate Greedy Routing’s Sparse Network Problem?

Andreas Timm‐Giel, Koojana Kuladinithi, Konrad Fuger, Musab Ahmed Eltayeb Ahmed
1 citations
Complex Network Analysis Techniques
1.32
article

Poster: Can Betweenness Centrality Mitigate Greedy Routing’s Sparse Network Problem?

Andreas Timm‐Giel, Koojana Kuladinithi, Konrad Fuger, Musab Ahmed Eltayeb Ahmed
article en
1 citations

Abstract

Geographic greedy routing in sparse L-band Digital Aeronautical Communications System (LDACS) Air-to-Air (A2A) networks, typical during the system’s gradual deployment, often becomes stuck in local minima, requiring backup mechanisms. Instead of relying on such reactive measures, we propose combining the geographic advance metric with local Betweenness Centrality (BC). While global BC is infeasible due to its reliance on full network knowledge, our results show that local BC strongly correlates with its global counterpart. We further develop Subset Betweenness Centrality Routing (S-BCR), a protocol that combines local BC and geographic advance. We demonstrate through proof-of-concept simulations that it achieves higher routing success rates than either metric alone, all within tight beacon-size limits.

Universität Hamburg (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 18%
Complex Network Analysis Techniques
1.32
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Poster: Can Betweenness Centrality Mitigate Greedy Routing’s Sparse Network Problem? — Andreas Timm‐Giel, Koojana Kuladinithi, et al. · (2025) | TGRS Research Map | TGRS