WSNp1-6: Applying Peer-to-Peer Asynchronous Publish Subscribe Message Middleware to Mobile Ah Hoc Networks
Bibliographic record
Abstract
The Publish-Subscribe middleware has been widely used to provide asynchronous communication functionality in distributed applications. Due to lack of communication infrastructure, frequent node mobility and limited resources, asynchronous publish-subscribe message middleware is a suitable communication model for mobile ad hoc networking environment, hi this paper, we propose an asynchronous publish-subscribe message middleware scheme for mobile ad hoc networks. The scheme supports disconnected operation and spontaneous communications. The proposed publish- subscribe mechanism is based on topics. The message publisher broadcasts an advertisement to its neighbor brokers, and receivers utilize subscription packets to set up connections with publisher. With the spread of advertisements, the system can also use advertisements to do the network reconfiguration. The main features of the proposed middleware scheme are: efficient, flexible, mobility awareness, network reconfiguration and cross-layer interaction support. The performance of the protocol is evaluated using simulation in terms of packet delivery ratio and end-to-end packet delay. These metrics are investigated as a function of node moving speed. The results show that our scheme can support intermittent connectivity and asynchronous communication environment that characterizes mobile ad hoc networks.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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 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".