Reliable Fault-Tolerant Multipath routing protocol for wireless sensor networks
Bibliographic record
Abstract
Several routing protocols have been designed in the recent years to support different wireless sensor networks requirements. In this paper, we introduce a new on demand routing protocol, Reliable Fault-Tolerant Multipath (RFTM), to improve the reliability of data routing in wireless sensor networks. RFTM is a multi objective routing protocol that meets diverse application requirements by considering the changing conditions of the network. The protocol takes into account both reliability demand and link quality to determine the number of desired multiple disjoint paths between the sink and source nodes. With the advantage of data splitting method based on erasure coding the packets are encoded at source nodes and the sink node obtains the data by decoding. Moreover, the sink node can make intelligent decisions based on the node's available resources, hop count to the source and delay to lengthen the network lifetime, provides fault-tolerance and achieves the desired reliability that meets the network state and the different application requirements.
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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 | 0.001 | 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 | 0.001 |
| 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".