Adaptive frameless slotted ALOHA considering energy efficiency
Why this work is in the frame
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Bibliographic record
Abstract
Random access protocols play an important role in the communication between elements of different newly emerged networks such as radio frequency identification (RFID), wireless sensor networks (WSN), and machine-to-machine (M2M) communication networks. New random multiple access (MAC) protocols have been suggested to satisfy the needs of such networks. These MAC protocols are recently aimed at the improvement of systems efficiency by resolving interferences and collisions in the received signals. This work considers one of such protocols called frameless ALOHA and proposes a technique to improve its energy efficiency without any loss in the network throughput comparing to the highest yet achieved in this scheme. More specifically, we propose a mechanism to adaptively change the probability of access at the users side. The proposed technique is the same as the original frameless ALOHA that does not need a coordination between the users. Our simulation results verify the improvement in energy efficiency when our proposed algorithm is the method of access.
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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