The Integration Of IEEE 802.11 (WLAN) With RFID Systems in ISM (2.45 GHz) Frequency Band Environment Using Framed Slotted ALOHA And IEEE 802.15.4
Bibliographic record
Abstract
In this thesis, we attempt to solve the problem of WLAN/RFID coexistence and integration in frequency band of GHz or ISM band. Our solution to this problem is to allow the WLAN access and RFID access in a time-sharing manner by making the WLAN Access Point aware of the RFID neighbor-network at MAC layer. The time-sharing function is implemented using IEEE 802.11 PCF mechanism. RFID network is implemented using two different standards. The first one is Framed Slotted Aloha standard and the second one is IEEE 802.15.4 standard. We have simulated both models using Artifex simulator and compared their performance using some performance metrics like collision probability and average number of collision in each superframe. It is shown that IEEE 802.15.4 based model outperforms the Framed Slotted Aloha based model.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".