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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:

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

[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