Bibliographic record
Abstract
Virtual Private Network (VPN) can enhance the security of Wireless Mesh Network (WMN). However, integrating these two technologies has several issues such as managing the nodes' mobility. In the literature, many solutions of VPN handoff are suggested for wireless networks. Nevertheless, these schemes are not suitable with WMN networks, because of their dynamic topology and multi-hop routing. To address these issues, a new approach is proposed in this work, called Seamless Handoff VPN for wireless Mesh networks (SHVM). This scheme is based on three conceptions, namely, optimal path, Customer Edge (CE) based on Virtual Routing and Forwarding (VRF) and VPN static address. The main objective of SHVM is to reduce the handoff delay and packet loss rate. To validate our study, the proposed model is simulated on OPNET 16. Simulation results show that delay and packet loss are in fact reduced. Hence, SHVM has improved the network QoS performance in term of packet end to end delay and jitter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".