Hybrid <i>k</i>-Preemptive Transmission Scheme for Minimal Age of Information in IoT Networks
Why this work is in the frame
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Bibliographic record
Abstract
This letter explores the Age of Information (AoI) in IoT networks, aiming to minimize the average AoI for real-time applications. We employ a spatiotemporal model with a heterogeneous Poisson field (HPF) of interferers and an absorbing Markov chain (AMC) to quantify AoI dynamics. This model specifically examines the effects of packet segmentation (i.e., rate adaptation) to maintain a stable rate in the presence of IoT interference. Unlike previous works focused on preemptive and non-preemptive schemes, we propose a novel hybrid k-preemptive transmission scheme. This scheme dynamically decides whether to continue or preempt transmission based on the number of delivered segments, addressing interference issues. Simulation results demonstrate the superiority of the proposed scheme over conventional schemes, consistently minimizing the average AoI.
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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 | 0.002 |
| Open science | 0.002 | 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