Relay selection in network coded communications with power control
Bibliographic record
Abstract
This paper is concerned with the computationally efficient selection of relays and assignment of transmit power values in wireless networks deploying cooperating nodes. The objective is to minimize the transmitted power required to exchange the data between two nodes. Specifically, the design of routing protocols with multiple store-and-forward relays along a data path is proposed for multiple unicast sessions in a network with randomly distributed nodes. The protocols are based on the knowledge of interdistances between nodes and, by adapting the transmission power, they control the topology to achieve the minimized total energy in networks with mesh type connectivity. In addition, the benefits of network coding are exploited for underlying networks with dynamic power allocations. Geometric ideas and abstractions are used to demonstrate that nodes which are closest to equi-spaced points distributed along the line of communication between a source and destination pair are the most energy efficient choices for relays. An analysis of the energy efficiency of the conventional store-and-forward and network coding based relaying schemes under different propagation conditions and for various node densities, with potential theoretical improvements corroborated through simulations, are also provided.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".