Performance Evaluation of Routing Protocol for 6G UAV Communication Networks
Bibliographic record
Abstract
The 6th generation mobile networks (6G) are expected to be launched in the 2030s. The architecture of 6G will be the integration of heterogeneous mobile networks. One of the indispensable components of 6G is unmanned aerial vehicle (UAV) communication networks. Powerful support capabilities with high mobility and flexibility are the main driving forces behind the breakout of UAV networks into countless domains to enhance the quality of human life such as disaster rescue, agriculture, military, and smart cities. However, high mobility and real-time services also pose significant challenges for communication protocols. In this work, we consider in detail the requirements of the modern 6G UAV communications and then develop a more realistic simulation environment based on NS3, to evaluate the performance of traditional routing protocols consisting of AODV, DSR, and OLSR on aspects of delay, packet delivery ratio, and routing overhead. We hope that these quantitative results will be an important guide for selecting suitable routing protocols in different 6G UAV scenarios.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".