Reliable multipath routing with fixed delays in manet using regenerating nodes
Bibliographic record
Abstract
This paper proposes a new framework in mobile ad hoc networks (MANET) for reliable multipath routing with fixed delays based on packet level forward error control (FEC). The novelty of this work stems from the integrated optimization of the redundancy at the path and the FEC packet levels to arrive at the concept of the regenerating nodes. The regenerating nodes can reduce the packet loss rate (PLR) between the source and the intermediate nodes so that, eventually, the PLR between the source and the destination is minimized. In general, the residual PLR in the system is reduced to the PLR on the connection between the last regenerating node and the destination. Extensive Monte Carlo simulations are provided to demonstrate the robust performance of the proposed scheme in the network environments with frequently changing topologies and PLR scenarios. The scheme accommodates various constraints for delay and reliability in terms of PLR that can be tailored to the specific applications, such as real-time multimedia services in MANET.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".