Support of multimedia SIP applications in mobile ad hoc networks: service discovery and networking architecture
Why this work is in the frame
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Bibliographic record
Abstract
Multimedia real-time session services, such as voice and videoconferences are highly desirable in many mobile ad hoc networks (MANET). This paper investigates network architecture options and evaluates their performance metrics for supporting session-based multimedia services in MANET, using the standard Session Initiation Protocol (SIP) proposed by the Internet Engineering Task Force (IETF). A novel service discovery mechanism is presented to discover SIP service locations and capabilities, enabling service self-configuration in the MANET. The service discovery mechanism applies cross-layer design between the application and the routing layers to achieve improved system and protocol efficiency. Two SIP MANET networking architectures, both with and without the proxy server, are evaluated. The presented performance results demonstrate the efficacy of the solution, and illustrate network design guidance for supporting SIP applications over MANET.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| 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