Effect of Jamming Signals on Wireless Ad Hoc and Sensor Networks
Bibliographic record
Abstract
In Ad Hoc or sensor networks, communication may be achieved between mobile nodes without a central entity (base station), in a half-duplex manner. The impact of jamming signals on those kinds of networks is studied. The contributions of this paper can be divided into two parts. In the first part, the probability of success, throughput and the maximum throughput are derived for the half-duplex Slotted ALOHA in terms of the node transmitting probability, the node receiving probability and average jamming signals rate. Results show that the probability of success, throughput and maximum throughput decrease with the increase of average jamming signals rate. In the second part, the effect of jamming signals on the maximum throughput of retransmission cut-off half-duplex Slotted ALOHA is studied. A close form equation is obtained for the transmission probability from each mobile node that maximizes the channel throughput in the presence of jamming signals. This equation provides the relationship between the new packet transmission probability from each mobile node, jamming signals rate and the number of retransmission attempts. The number of retransmission attempts plays an important role for a lower value of jamming signals rate. The results of this study may be used for system design of half-duplex contention-based multiple access schemes with and without jamming signals and retransmission cut-off.
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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 | 0.001 | 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 | 0.000 | 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".