On the fundamental capacity and lifetime limits of energy-constrained wireless sensor networks
Why this work is in the frame
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Bibliographic record
Abstract
Energy constraints on sensor nodes pose significant challenges towards extending operational lifetimes and sustainable capacities of wireless sensor networks. We seek to answer two fundamental questions with respect to energy-constrained sensor networks. First, what is the operational lifetime of a particular wireless sensor network under the control of optimal power management schemes? With an adequate definition of operational lifetimes, our asymptotic analysis shows that, with fixed node densities, operational lifetime of sensor networks decreases in the order of 1/n as the number of initially deployed nodes n grows. Second, what is the impact of constrained energy levels on the maximum sustainable throughput in sensor networks? Even with renewable energy sources on each of the sensors (e.g., solar energy sources), our analysis concludes that the maximum sustainable throughput in energy-constrained sensor networks scales worse than the capacity based on interference among concurrent transmissions as long as the physical network size grows with n in the order greater than log n. In this case, when the number of nodes is sufficiently high, the energy-constrained network capacity dominates.
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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