Hybrid Position-Based 3D Routing Algorithms with Partial Flooding
Bibliographic record
Abstract
Position-based routing algorithms use the location information to reduce routing overhead in mobile ad-hoc networks. In this paper we propose two position-based routing algorithms which combine progress-based routing with restricted directional flooding-based routing algorithms for routing in 3 dimensional environments (3D). The first algorithm 3D_ABLAR(m) chooses m neighbors according to a space-partition heuristic and forwards the message to all these nodes. The second algorithm (C, G)-3D_ABLAR(m)-(C, G) uses progress-based routing until a local minimum is reached. The algorithm then switches to the first algorithm for one step and then progress-based routing is resumed. We evaluate our algorithm and compare it with current routing algorithms. The simulation results show a significant improvement in delivery rate (99% compared to 63%) and reduction in traffic (up to 50%)
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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".