Use when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance that over-the-air measurement introduces, and deciding early which traces, firmware, and deployment data can legally and safely ship for artifact evaluation.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill mobicom-reproducibility --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Mobicom Reproducibility?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/brycewang-stanford-mobicom-reproducibility)More formats (shields.io, HTML) on the badges page.
---
name: mobicom-reproducibility
description: Use when making a MobiCom result reproducible on a different testbed — recording radio, hardware, channel, and mobility provenance as the runs happen, characterizing the variance that over-the-air measurement introduces, and deciding early which traces, firmware, and deployment data can legally and safely ship for artifact evaluation.
---
# MobiCom Reproducibility
Reproducibility at MobiCom is harder than at a compute-only venue because the experiment
includes a **physical radio channel that no one else has**. The goal is not bit-identical
reruns; it is enough provenance that a reader with a *different* testbed can tell whether a
mismatch is their setup or your claim. Provenance is captured while the runs happen — it
cannot be reconstructed after the testbed is torn down.
## The provenance ledger
Keep a machine-readable record per experiment, written as the run executes:
```text
Per-run provenance record:
radio: SDR/NIC model, firmware/driver version, carrier freq, bandwidth, TX power
rf_frontend: antenna type, gain, cabling, amplifiers
topology: node count, positions/distances, LOS/NLOS, host specs
channel: RSSI/CSI traces, measured interference, coherence-time estimate
mobility: walker paths, speeds, schedule (or "stationary")
energy: instrument, sampling rate, measured boundary
software: code commit hash, config diffs from defaults, analysis-script hash
outputs: raw-capture location, per-figure derivation script
```
This ledger is simultaneously the evaluation record (`mobicom-experiments`), the
artifact-evaluation seed (`mobicom-artifact-evaluation`), and the insurance policy for a
one-shot revision that asks you to re-run months later on the same setup
(`mobicom-author-response`).
## Characterize the variance, do not hide it
Over-the-air numbers move between runs. A reproducible MobiCom result states its spread:
| Source of variance | How to characterize it |
|---|---|
| Channel realization | repeat across times of day / room states; report the distribution |
| Interference | log the ambient band occupancy during runs; note co-channel activity |
| Hardware unit | test more than one radio/tag where feasible; note per-unit drift |
| Mobility | multiple walker paths and speeds; report per-path spread |
| Thermal / time | long runs to expose drift; report start-vs-end |
If a headline figure comes from one favorable channel realization, it is not yet a claim
about the mechanism — say what varied and report the range, not the best run.
## What can legally and safely ship
Decide early, because it constrains both the artifact and the anonymity sweep:
- **Raw captures and traces:** confirm the collection did not record identifiable users or
protected content; strip or aggregate what cannot ship. IRB or site conditions may bind
release.
- **Firmware and proprietary radio stacks:** often not redistributable — plan a description
and a substitute rather than a broken artifact.
- **Deployment-site data:** building maps, floor plans, or site identifiers can both
de-anonymize (`mobicom-submission`) and violate a site agreement; generalize them.
- **Third-party datasets:** ship a loader and instructions, not a re-hosted copy, unless the
license permits.
## A hardware-optional reproduction path
Most readers and most artifact evaluators will not have your radios. Plan, from the start, a
path that does not require them:
- A **trace-replay** mode that feeds recorded captures through the same decode/analysis
pipeline, so the processing is reproducible without a testbed.
- A **downscaled** configuration (fewer nodes, shorter distance) an evaluator can run on
common hardware to reach a *Functional* result.
- Expected-output *and* expected-variance files, so a rerun that differs by a known margin
reads as success, not failure.
## Audit checklist
- [ ] Provenance ledger captured per run, not reconstructed.
- [ ] RF, channel, and mobility conditions recorded with each headline result.
- [ ] Variance sources characterized; ranges reported, not single best runs.
- [ ] Legal/ethical shipping decision made for traces, firmware, and site data.
- [ ] Trace-replay or downscaled path exists for testbed-less reproduction.
- [ ] Analysis scripts version-pinned to the raw captures they consume.
## Output format
```text
[Provenance] ledger present per run? gaps named
[Variance] which sources characterized; which unmeasured
[Shipping] traces / firmware / site data — ship, strip, or substitute (each)
[Testbed-less path] trace-replay / downscaled present? y/n
[Risks] the reruns most likely to diverge, and why
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!