Comparisons of Home Area Network Connection Alternatives for Multifamily Dwelling Units
Bibliographic record
Abstract
Viewed as an integral part of the smart grid, the Smart Home provides users the convenience, comfort and energy efficiency through centralized control of lighting, HVAC, appliances, and other home systems. Zigbee's low power consumption, build-in security method and operating on ISM bands make it one of the winner solutions for Smart Homes. Nevertheless challenges are raised to connect home devices and smart meters which are usually located on another floor in multifamily dwelling units. Distance or/and obstruction limitation needs to be overcome. We propose and compare three connection alternatives - Zigbee repeater, ZigBee/WiFi gateway and hybrid approach. Zigbee repeater method utilizes tree topology for forwarding packets multiple hops to distant destinations. ZigBee/WiFi gateways are used to interconnect ZigBee and WiFi networks. The hybrid approach will combine both of their features. In our paper, we present our performance evaluations of these three alternatives under extensive scenarios using OPNET modeler. Finally, we conclude and propose our future work.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".