Load-sensitive routing for mobile ad hoc networks
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
A mobile ad hoc network (MANET) is a collection of wireless mobile computers forming a temporary network with no existing wired infrastructure. Due to the dynamic nature of network topology and the resource constraints, routing in MANETs is a challenging task. Distributing the routing tasks fairly has eminent advantages, such as reducing the possibility of power depletion and queuing delay in the hosts with heavy duties. However, most current routing protocols for MANETs do not take load balancing into account. In this paper, we propose a load-sensitive on-demand routing approach, which utilizes the network load information as the main route selection criterion. We perform a simulation study on the proposed routing protocol. Compared with the dynamic source routing (DSR), our protocol shows better performance in terms of packet delivery ratio and average end-to-end delay. Further, with low mobility, these benefits are gained without an increase in the control overhead.
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 | 0.000 | 0.000 |
| Open science | 0.001 | 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