Signaling and QoS guarantees in mobile ad hoc networks
Bibliographic record
Abstract
We propose an architecture for provisioning non-disrupted QoS guarantees in mobile ad hoc networks, and extend the scalable resource reservation protocol (SRRP) for signaling in ad hoc networks. In particular, we present a number of techniques that can enable QoS guarantees in ad hoc networks, including geographical reservation and clusterhead election (GRACE), the request-to-reserve/object-to-reserve/clear-to-reserve (ROC) reservation mechanism, and ad-hoc MPLS. We introduce a scalable adaptable reservation architecture (SARA) as a common architecture for reservation in SRRP. SARA is a scheme for signaling, reservation and QoS adaptation in ad hoc mobile wireless networks and which can also be used in the Internet. Finally, we propose geographical subpath protection, geographical circumscribed protection, and geographical extension protection with shared virtual reservation for non-disrupted QoS guarantees in the presence of interference, high mobility, bursty traffic, and/or other faults, without wasting expensive radio resources unnecessarily.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".