An Energy Aware Trust Based Multipath Routing Scheme For Mobile Ad Hoc Networks
Bibliographic record
Abstract
Message security in multi-hop infrastructure-less networks such as Mobile Ad Hoc Net- works has proven to be a challenging task. A number of trust-based secure routing protocols has recently been introduced comprising of the traditional route discovery phase and a data transmission phase. In the latter, the action of relaying the data from one mobile node to another relies on the peculiarity of the wireless transmission medium as well as the capability of the source nodes to keep their energy level at an acceptable and reasonable level, posing another concern which is that of energy efficiency. This thesis proposes an Energy-Aware Trust Based Multi-path secured routing scheme (E-TBM) for MANETs, based on the dynamic source routing protocol (DSR). Results show that the E-TBM scheme outperforms the Trust Based Multi-path (TBM) secured routing scheme [1], chosen as a benchmark, in terms of energy consumption of the selected routing paths, number of dead nodes, trust compromise and route selection time, chosen as performance metrics.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".