SARP - A Novel Multi-Copy Routing Protocol for Intermittently Connected Mobile Networks
Why this work is in the frame
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Bibliographic record
Abstract
This paper introduces a multi-copy routing protocol, called Self Adaptive Routing Protocol (SARP), for intermittently connected mobile networks. SARP aims to exploring the possibility of taking nodes as carriers of messages to be delivered among network partitions. The choice of the best carrier for a message is made according to the prediction based on the history of nodal encounters. The paper will argue that the movement of the nodes and their possible future collocation with the recipient of the messages can be used to make intelligent message forwarding decisions. The proposed protocol has been implemented and compared to a number of existing encounter-based routing approaches, where a near-realistic mobility model is used for testing. The performance of the proposed technique is evaluated in terms of delivery delay and the number of transmissions performed. The results of the simulation show that the proposed technique outperforms all existing multi-copy encounter-based routing protocols. Index terms: DTN, multi-copy routing.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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