Charging-aware mobility modeling for wirelessly chargeable intermittently connected MANETs
Bibliographic record
Abstract
Recently remarkable progress has been made on the development of wireless charging technologies. Their augmentation to Intermittently Connected Mobile ad hoc Networks (ICMNs) can boost the network performance with the benefit of elongated nodal lifespans. This benefit, however, is also accompanied by new potential challenges for protocol designers, as the mobile nodes can assume unconventionally dynamic, heterogeneous, and interdependent movement patterns due to dis/charging processes. The interplay between mobility, energy, and communication can skew the efficacy of existing routing protocols. In this paper, we devise a series of grid-based mobility models to mimic the possible charging-aware moving behaviors of wirelessly chargeable ICMNs that are assisted by renewable charging resources. Properties of the mobility models are investigated through simulation with classic routing protocols for ICMNs (i.e. epidemic routing and randomized flooding). Results show that the charging-aware mobility can enable the nodes to maintain high energy and good packet delivery ratios, depending on the aggressiveness of transmission and distribution of chargers.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".