A multi-gateway-based architecture for integrating ad hoc networks with the internet using multiple Foreign Agents
Bibliographic record
Abstract
Mobile Ad hoc Networks (MANETs) are typically considered to be stand-alone autonomous networks that support multi-hop communication without relying on an existing infrastructure. The integration of MANETs and the internet extends network coverage and facilitates hybrid wired and wireless networking. Most earlier approaches, for integrating MANETs with the internet considered fixed gateways and registration by means of a single gateway or Foreign Agent (FA) with unidirectional connectivity. In this paper, we propose an architecture for integrating MANETs and the internet using multiple Mobile Gateways (MGs) and FAs. MGs move within a one-hop or two-hop distance from the FAs. We extended the Ad hoc On Demand Distance Vector (AODV) routing protocol and Mobile IP (MIP) to achieve the integration. The simulation results show that the use of multiple MGs and a hybrid gate discovery mechanism enhances network performance while providing bi-directional internet connectivity in a multiple foreign agent environment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".