Clusterhead controlled token for virtual base station on-demand in MANETs
Bibliographic record
Abstract
A wireless mobile Ad hoc network (MANET) is a collection of wireless mobile hosts forming nodes that are arbitrarily and randomly changing their locations and communicating without the aid of any centralized administration or standard support services. Ad hoc Cluster-based routing protocols establish a dynamic wireless mobile infrastructure to mimic the operation of the fixed infrastructure in cellular networks. A Clusterhead is elected from a set of nominees, based on an agreed upon rule, to act as a temporary base station within its zone or autonomous system. Mobile stations elected as clusterheads are used to track other mobile stations in the ad hoc network. In each cluster, we use the clusterhead controlled token to assign the channel among contending Mobile Terminals (MTs). Clusterhead controlled token supports multiple classes of service and minimizes collisions. In this paper, we derive formulas to calculate the average waiting time for a packet, in order to get transmitted. In our study, we use two polling schemes, namely: Exhaustive polling and Partially Gated polling controlled token.
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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 | 0.000 | 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".