Experiences with SeaMo: A Vertical Handoff Implementation for Heterogeneous Wireless Networks
Why this work is in the frame
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Bibliographic record
Abstract
SeaMo, a vertical handoff (VHO) implementation based on our earlier paper [1] is tested with various mobility scenarios on a mobile IP testbed using MIPv6 and HIP protocols for mobility management. SeaMo considers various parameters like RSSI, link quality metric, end-to-end available bandwidth, battery power, network usage costs etc., in making the VHO decision. We present our experiences using SeaMo in mobility scenarios involving 3G and WLAN. We present a set of results which demonstrate the performance of SeaMo. We explain the need for considering a wide range of parameters from RSSI to network usage cost. We also highlight the impact of using the available battery power in decision making. In addition, we attempt to measure typical values of parameters such as network association delay, and handoff decision delay that impact the QoS.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it