SCIDR: A Scalable Cluster based Inter-Domain Routing Protocol for Heterogeneous MANET
Bibliographic record
Abstract
The area of Mobile Ad-hoc Network (MANET) has already been a topic of attention from past decade among the research community owing to its potential communication advantages as well as issues associated with it.However, the cases of inter-domain routing in the MANET have challenges furthermore compared to conventional MANET system.Border gateway protocol cannot be applied to support interdomain routing in mobile ad-hoc network as it cannot support the dynamic behavior of MANET.Hence, the this paper proposes a novel technique called as SCIDR-Scalable Cluster based Inter-domain Routing that is meant exclusively for heterogeneous MANET system.SCIDR is designed on a totally different principle compared to standard CIDR protocol, where CSI-Channel State Information, as well as channel correlation factor, are introduced to leverage further outcomes.For the first time, extensive performance parameters are used to benchmark the proposed system that ensures effective scalability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".