Connection-Based Scheduling for Supporting Real-Time Traffic in Wireless Mesh Networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper studies real-time traffic scheduling in wireless mesh networks (WMNs). Optimum packet transmission scheduling providing strict latency guarantee for realtime traffic while efficiently utilizing the network resources in a WMN is difficult, and one of the main challenges is to coordinate temporal operations of the mesh access points (APs). In this paper a connection-based scheduling scheme is proposed. Scheduling decisions for connections with a larger number of hops are made first, and that for connections with a fewer number of hops are done by using the remaining resources. When scheduling packet transmissions for each connection, the transmitting time of the AP with the highest traffic load along the route of the connection is determined first. At each hop, the transmitting time of a packet is determined to minimize the latency to the upstream hop or from the downstream hop while keeping the total amount of required AP resources small. A connection-based optimization problem is formulated and solved with an objective to minimize the total amount of required AP resources, subject to the latency requirement of the connection. Numerical results show that the proposed scheduling scheme achieves close-to-optimum performance at both the connection and packet levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it