PIES: Protocol independent energy saving algorithm
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The PIES algorithm presents a new energy saving technique that helps conserve energy that is consumed by the wireless interfaces of ad hoc network nodes. PIES is not a routing algorithm, rather it is an algorithm that works in conjunction with existing routing protocols to help those protocols make decisions regarding energy conservation. PIES functionality conforms to the principle of energy fairness amongst network nodes and does not intervene with the core functionality of the underlying routing protocol. It is a distributed algorithm whose functionality does not depend on any single node or set of nodes within the network. In addition, PIES does not introduce any significant additional traffic or energy costs to the network and its nodes and can be configured to have no additional traffic or energy costs. Simulations show that PIES can generate energy savings of about 50% and extends the lifetime of the network by about 70%.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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