Passive and greedy beaconless geographic routing for real-time data dissemination in wireless 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
Real-time geographic routing is one of the most popular examples relying on a greedy algorithm to deliver real-time data in wireless networks. Each sender node decides a next-hop node among one-hop neighbours in stateless manner. However, this sender-side decision paradigm suffers from periodic and network-wide beaconing to discover neighbour nodes. To overcome the limitation, this paper suggests a passive and greedy beaconless real-time routing, called PGBR. To forward real-time data by receiver-side selection, PGBR focuses on two major challenging issues: a delay estimation procedure and a contention function design. The delay estimation procedure estimates both waiting delay and packet transmission delay used for the contention function. PGBR also redesigns receiver-side contention function with deliberating the estimated delay and discuss combinations of important metrics for the contention. The experimental results show that PGBR could improve the energy-efficiency as well as keeps high delivery deadline success ratio.
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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 | 0.002 | 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