Load Balancing Using Multiple Node Disjoint Paths
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 discusses the multiple node disjoint paths protocol (MNDP) for mobile ad hoc networks. A mobile ad hoc network is a collection of mobile nodes that cooperate without networking infrastructure so as to form a temporary network that meets some immediate needs. The MNDP protocol detects multiple paths and distributes transmitted packets over these paths. Such distribution reduces congestion and packet end-to-end delay, and increase the delivery ratio. The MNDP protocol detects multiple paths, assigns them a priority values based on the routes hop count and uses the shortest routes among them more frequently. The simulation results show that the proposed protocol has achieved an enhancement on packet delivery ratio, up to 16%, as compared to the Ad Hoc On-demand Distance Vector routing protocol (AODV) protocol. Finally, the results are obtained based by the GloMoSim 2.03 simulations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.020 |
| Open science | 0.001 | 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 it