Energy-efficient routing in mobile ad hoc networks: a cautionary tale
Why this work is in the frame
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Bibliographic record
Abstract
Energy consumption is an important metric to consider in designing routing protocols for mobile ad hoc networks (MANET). In this article, we present some results from our work on integrating energy-efficiency aspects into a standard MANET routing protocol, optimised link state routing. We explore a range of protocol modifications and show that such changes can indeed increase the protocol performance in ideal scenarios (i.e. nodes having instantaneous and accurate knowledge of other nodes' residual energy levels) by as much as 30%. We then investigate the impact of nodes having only inaccurate/imprecise knowledge of the residual energy levels of other nodes, learning this information through protocol messages. The article shows that the achievable protocol performance is negatively affected by the imprecise information available. The loss in performance can be as high as 10%, emphasising the need to collect more precise routing-related information.
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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 | 0.001 | 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 | 0.002 | 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