Comparison and Analysis Study between AODV and DSR Routing Protocols in VANET with IEEE 802.11
Why this work is in the frame
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Bibliographic record
Abstract
Mobile Ad-Hoc networks (MANET) have become related to several aspects in human life while normal users uses the wireless mobile systems without prior knowledge about how such systems works. In order to support the mobility in MANETs, the routing protocols are needed to handle the data transmission between the wireless nodes from a source to destination. Ad-Hoc On demand Distance Vector (AODV) and Dynamic Source Routing (DSR) is a popular routing protocols used in MANET. Vehicular Ad-Hoc Networks (VANET) is a special type of MANET which is used to support the high mobility between moving cars on the roads. In this paper the AODV and DSR are applied on a VANET over two different scenarios, dense and sparse traffic based on cars density on the road, and then both protocols are evaluated based on different performance metrics
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it