Broadcasting energy efficiency limits in wireless networks
Bibliographic record
Abstract
Broadcasting allows efficient information sharing and fusion in wireless networks. In this paper, the energy efficiency limits in wireless broadcasting, defined as the minimal achievable broadcast energy consumption per bit (BEB), are studied. Specifically, we consider that a source node broadcasts information bits in a planar disk region A. And n relay nodes, which assist the broadcasting, are also placed in A. The limits are studied for both arbitrary and random wireless networks, under both non-cooperative and cooperative relay transmissions models. Closed form expressions are obtained. The results show that the minimal BEB, in general, decreases polynomially with n, and increases polynomially with the area of A. Cooperative relay transmissions offer at most a constant gain, in terms of the minimal BEB, over noncooperative transmissions, except for the free space propagation. As an example of application, our results are utilized in the study of wireless sensor networks, where the broadcast information fusion strategy is described and analyzed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".