Mutual Information and Energy Tradeoff in Correlated Wireless Sensor Networks
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Bibliographic record
Abstract
We consider comparison of Mutual Information (MI)-Energy tradeoff in correlated wireless sensor network (WSN) for cooperative multiple input and multiple output (MIMO) and non-cooperative (referred to as single input and single output (SISO)) transmission schemes. Our numerical results indicate that for short distances SISO schemes achieve better Mi-Energy tradeoff than the cooperative MIMO schemes, while for long distances the cooperative MIMO schemes achieve better Mi-Energy tradeoff. We next consider the issue of sensor placement in a correlated WSN. Specifically, we prove that the spacing between nodes to maximize MI is in general an increasing function of observation SNR. From this structural result, we conclude that at high SNR, the various stages of the WSN can be separated by relatively large distances than at low SNR.
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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 | 0.000 | 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