Simulation implementation and performance analysis for situational awareness data dissemination in a tactical manet
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
Situational awareness (SA) information in tactical mobile ad hoc networks (MANETs) is essential to enable commanders to make informed decisions during military operations. Sharing SA information in MANETs is a challenging problem because missions are run with dynamic network topologies, using unreliable wireless links, and with devices that have strict bandwidth and energy constraints. Development and validation of efficient data delivery methods in MANETs often require simulation; however, the literature is sparse regarding simulations specifically for SA dissemination. In this paper we present a simulation implementation for a newly proposed Opportunistic SA Passing (OSAP) scheme and investigate its efficiency in realistic scenarios. Moreover, we propose several metrics aimed at facilitating evaluation of SA dissemination schemes in general, and we demonstrate the applicability of the metrics in our simulation results. Our simulation provides a flexible framework and evaluation platform for experimental studies of SA data dissemination in tactical MANETs.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 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