IoT in Coalition Federated Operations: Multi-National C2 Integration and Technical Interoperability Experiments
Bibliographic record
Abstract
The Internet of Things (IoT) is an emerging and disruptive technology in the military domain. Military technology innovators can exploit the IoT world to promote information superiority in the battlespace through novel and abundant sensory capabilities. Our research was conducted as part of the NATO research task group IST-176 on "Federated Interoperability of Military C2 and IoT Systems" to investigate how IoT data can be ingested into C2 systems in a federated coalition operation. Our approach leverages industrial standard protocols and formats, while including optional fields to convey military-specific unit information along with IoT sensor data. Our experiments demonstrate and validate the approach in which systems from different nations are connected in a federated environment, delivering a high success rate in message delivery and enabling a consistent display of the situational picture across different C2 systems. The results of the experiments demonstrate the feasibility of integrating IoT information in a military information flow, to support collective C2.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".