A network layer based architecture for service discovery in mobile ad hoc networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Service discovery is an integral pail of constructing a self-configuring mobile ad hoc network (MANET). While several service discovery protocols have been developed, most of them are designed for infrastructure-based networks and thus not suitable to be used in MANET. On the other hand, service discovery protocols that have been designed for MANET suffer from problems with two critical issues. Firstly, they have limited scalability due to the extensive use of broadcast communication. Secondly, they usually lack context aware selection mechanisms. In this paper, we propose a network layer supported comprehensive service discovery solution that addresses the above issues and provides solutions in two parts. First we discuss a location aware network layer routing protocol that groups mobile nodes into clusters where a gateway at each cluster is responsible for routing. Then we propose a service discovery protocol that utilizes directories for service discovery that interact with lower network layer gateway configuration. Our service discovery solution includes an agent-based context aware service selection.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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