Load Balancing and QoS-Aware Network Selection Scheme in Heterogeneous Vehicular Networks
Why this work is in the frame
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Bibliographic record
Abstract
With the increasing demands for various wireless communication technologies and standards, new challenges arise in seamless connectivity among different techniques. Mobility management protocols face a new difficulty in vehicular network heterogeneity, from deployment issues to optimal handover management process. However, due to the dynamic environment in vehicular networks, providing the best quality of service is a critical issue. Additionally, conventional mobility management solutions do not consider user's preferences when selecting the next points of access. In this paper, we present a load balancing and QoS-aware handover scheme in Heterogeneous Vehicular Networks (Het-VeNET) in order to choose the least loaded network, while maintaining the high level of required quality of service. We define the vehicle's mobility and QoS measurements and demonstrate the stated handover process in a vehicular environment. The proposed scheme performance showed a higher rate of successful handoff and load balance on different cells and scenarios when compared to benchmark schemes.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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