A robust hybrid-MAC protocol for M2M communications
Bibliographic record
Abstract
In M2M communications, there is a critical requirement of a robust MAC protocol to enable multiple M2M devices to access the channel. For this purpose, reservation or contention based MAC protocols can be used, but with multiple M2M devices, adaptability, and scalability become bottlenecks. Therefore, a frame based hybrid-MAC scheme, consisting of a CSMA-based contention period, and a TDMA-based transmission period has been proposed here. During contention period, the devices compete for the channel access. The successful devices during this period will strive to transmit data, using IEEE 802.11 DCF mechanism within each TDMA slot. The aim is to make sure that in case of TDMA clock synchronization failure, there is no communication failure between M2M devices. Extensive simulation results in ns-2 environment show that the proposed time frame scheme for hybrid-MAC protocol performs better than slotted-ALOHA and TDMA in terms of aggregate throughput and average end-to-end delay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".