MoT: A Deterministic Latency MAC Protocol for Mission-Critical IoT Applications
Why this work is in the frame
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Bibliographic record
Abstract
With the growing demand on the IoT market and limited wireless resources, it is essential to fully utilize the available spectrum by improving the total throughput of the network. Many MAC protocols for IoT rely on pure ALOHA-based channel access. Being that these are contention-based the packet collisions cause a massive drop in both the throughput and packet d elivery ratio. The se, proto cols a re unsuitable formission-critical applications which usually req uire long-range communication with guaranteed packet delivery and high throughput. In this paper, we propose a new hybrid scheduling-based protocol MAC on Time (MoT) that guarantees the delivery of all uplink packets in the network and addresses mos t of the importantparameters re qui red by mission-critical a pplica tio.MoT improves the utilization of the bandwidth ca pacity while providing deterministic latency and increased throughput when compared to other IoT MAC protocols. We then designed a simulator for MoT to allow us to compare its performance against that of LoRaWAN. This work provides valuable insight on the performance of both protocols and will aid future research.
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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) | 0.001 | 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