An Efficient Hybrid HIP-PMIPv6 Scheme for Seamless Internet Access in Urban Vehicular Scenarios
Why this work is in the frame
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Bibliographic record
Abstract
We present a novel mobility management scheme for seamless Internet access in urban vehicular scenarios. The scheme is based on Proxy Mobile IPv6 and Host Identity Protocol, and allows users to handoff within and across different administrative domains. We consider two types of nodes: legacy nodes with no mobility support (e.g., end devices that depend on the vehicle's mobile router for the support of mobility), and mobility-enabled nodes (e.g., passengers that commute from/to vehicles and terminal stations). The main advantage of our scheme is to enable the inter-domain handover of both types of nodes with a reduced signalling overhead and packet losses. Performance evaluations demonstrate that our scheme improves the handover latency and packet losses compared to other global mobility management protocols.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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