Performance evaluation of Channel-Aware MAC protocol in smart grid
Bibliographic record
Abstract
An Intelligent Distributed Channel-Aware Medium Access Control (IDCA-MAC) protocol is proposed for Home Area Network (HAN), in general, and for Electrical Devices Networks (EDN), in particular, in smart grids. In an EDN, electrical devices generate critical packets, and these must be communicated to their respective mesh clients. The proposed IDCA-MAC protocol employs simultaneous transmission of data packets through a single collision domain. Also, the electrical devices and the mesh client are assumed to be equipped with Multiple Input Multiple Output (MIMO) technology. The proposed protocol is compatible with the existing IEEE 802.11 standard, and uses channel-aware Medium Access Control (MA-Aware) and the Zig-Zag decoding algorithm. Simulations are carried out using the NS-2 network simulator, and the performance of IDCA-MAC protocol is evaluated for various smart grid scenarios that are of practical significance. It is shown that the protocol is very effective and can be easily adopted in existing smart grids for improved throughput and performance.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".