TPSF+: a new two-phase scatternet formation algorithm for bluetooth ad hoc networks
Bibliographic record
Abstract
A Bluetooth scatternet can be formed by interconnecting two or more piconets together. To reduce the traffic load of master and bridge nodes, a two-phase scatternet formation (TPSF) algorithm was proposed (Kawamoto, Y. et al., Proc. IEEE WCNC '03, 2003). A control scatternet is created for the transmission of control packets. For each source and destination pair, an on-demand scatternet is created for the transmission of data packets. The original TPSF does not consider the support of node mobility. We propose TPSF+, which is an extension of the on-demand scatternet formation in the original TPSF. In TPSF+, route information is discovered when a communication session is required between the two nodes. Simulation results show that TPSF+ has a higher successful path connection ratio when compare with the original TPSF. The proposed TPSF+ also has a higher aggregate throughput and smaller end-to-end delay when compared with BTCP (Salonidis, T. et al., Proc. IEEE INFOCOM'01, 2001) and Bluenet (Wang, Z. et al., Proc. 35th Hawaii Int. Conf. on System Sciences - HICSS-35, 2002).
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".