Multiobjective Routing for Simultaneously Optimizing System Lifetime and Source-to-Sink Delay in Wireless Sensor 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
We target an interesting problem of simultaneous optimization of lifetime and source-to-sink delay in wireless sensor networks, and present a fuzzy multiobjective online routing algorithm. For a routing request, the proposed routing algorithm finds a path that offers a good balance between the two routing objectives, namely maximizing the network lifetime and minimizing the source-to-sink delay. Fuzzy membership functions and rules are used for designing the cost function for each of the optimization objective and the multiobjective cost aggregation function, respectively. It is shown that the use of fuzzy logic offers a flexible mean of controlling the tradeoff between the two objectives. A set of simulation results were obtained, using numerous topologies and under various parameters, to indicate that the proposed multiobjective routing scheme is able to achieve good lifetime values while maintaining reasonably short end-to-end delay values.
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 | 0.001 | 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 | 0.000 |
| 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