Towards Global Connectivity by Joint Routing and Scheduling in Wireless Mesh Networks
Bibliographic record
Abstract
Wireless mesh networks are at the forefront of the technological drive. Achieving high system throughput in these networks is challenging due to interference which limits concurrent transmissions. In this paper we study routing and link scheduling in time division multiple access networks free of contention. We extend the work in the literature in several ways: (a) we present simple joint routing and time slot scheduling algorithms that have outperformed the existing proposals in most of our experiments, (b) we report the results using a simple combinatorial bound on the optimal routing/scheduling solution which gives us an absolute measure of the quality of the routes, (c) we depart from the classical routing tree approach by constructing session based routes for data and we quantify the performance gains for this approach to justify its use when QoS constraints are considered. We perform extensive experiments to evaluate our model. Results from the experiments indicate that our model outperforms most of the known approaches in the literature.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".