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SenSys Experiment Reproducibility

brycewang-stanfordbybrycewang-stanford
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Captures hardware, firmware, energy, and deployment provenance while testbeds are live to guarantee cross-hardware reproducibility for ACM SenSys research.

The SenSys Reproducibility skill guides researchers in documenting and packaging embedded systems and wireless sensor network deployments for seamless cross-hardware reproducibility and ACM artifact evaluation. It helps capture perishable provenance—such as energy measurement methodology, pinned toolchains, ground-truth sensor protocols, and environmental conditions—before testbeds are dismantled, while assisting in generating standalone trace-replay bundles and resolving legal or privacy data release constraints early.

主要功能

01Live provenance capture for energy measurement instruments, sampling rates, and integration boundaries
02Sensor ground-truth protocol and deployment condition tracking
03Early compliance review for data release constraints, NDA clearance, and location scrubbing
041,090 GitHub stars
05Hardware and firmware environment pinning including MCU clocks, board revisions, and toolchains
06Trace-replay bundle generation to reproduce figures without physical hardware

使用场景

01Structuring cross-hardware figure reproduction bundles and publishable sensor trace datasets
02Packaging sensor network deployment data for ACM SenSys artifact evaluation and reproducibility badges
03Documenting power and energy measurements before dismantling live physical testbeds