Power control for collaborative beamforming in wireless sensor networks
Why this work is in the frame
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Bibliographic record
Abstract
Energy-efficient communication in wireless sensor networks (WSNs) is addressed in the physical layer by implementing collaborative beamforming (CB). CB achieves directional gain and at the same time distributes the corresponding energy consumption over the collaborative sensor nodes. However, sensor nodes in practice may have different energy budgets assigned to CB transmission. Thus, equal power CB can deplete energy from sensor nodes with smaller energy budget faster than the rest of sensor nodes. In this paper, CB with power control is developed to prolong the lifetime of a cluster of collaborative sensor nodes by balancing the sensor node lifetimes. A novel strategy is proposed to utilize the residual energy information (REI) available at each sensor node. Power control adjusts the energy consumption rate at each sensor node while achieving the required average signal-to-noise ratio (SNR) at the destination. Simulation results show that CB with power control outperforms equal power CB in terms of prolonging the lifetime of a cluster of collaborative nodes.
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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 | 0.000 | 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