Hop count optimal position based packet routing algorithms for ad hoc wireless networks with a realistic physical layer
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
Existing routing and broadcasting protocols for ad hoc networks assume an ideal physical layer model. We apply the log normal shadow fading model to represent a realistic physical layer and propose a MAC layer protocol to produce the optimal shortest hop count routing scheme. We then study the optimal packet forwarding distance to minimize the hop count. A hop count optimal, greedy, localized routing algorithm (referred as ideal hop count routing (IHCR)) is then presented. We also present another algorithm called expected progress routing with acknowledgements (referred as aEPR) and then propose a projection progress scheme. In conclusion, we propose a tR-greedy routing scheme, where the packet is forwarded to the neighbor closest to the destination, among neighbors that are within distance tR. All described schemes are implemented, and their performances are evaluated and compared.
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 | 0.001 | 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