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Performance and Reliability Comparison of Cellular vs. WiFi Temperature Monitoring Systems in Blood, Tissue, and Pharmaceutical Storage Environments

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Zenodo2025-12-01 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.17783284
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This dataset contains the operational performance measurements, latency logs, uptime records, and system reliability metrics used in the manuscript “Enhanced Temperature Monitoring in Blood Storage Using Cellular Systems.” The dataset includes quantitative comparisons between WiFi-based and cellular-based temperature monitoring platforms deployed across hospital, clinic, pharmaceutical, and tissue storage environments. The data were collected from real-world installations of environmental monitoring systems and include: Temperature telemetry latency measured across three facility types (hospital, urban clinic, remote site) System uptime percentages for WiFi and cellular systems under identical operational conditions Signal reliability and connectivity stability metrics Documented cybersecurity incidents associated with WiFi-based networks (sourced from public breach reporting datasets) Case-study operational performance measurements related to blood storage, tissue banking, and pharmaceutical cold-chain environments Alert response times and deviation detection events Environmental factors influencing network interference and data integrity The dataset supports a comparative evaluation of communication technologies used in regulatory-grade temperature monitoring for healthcare and biomedical storage applications. It enables reproducible analysis of how cellular telemetry improves data integrity, reduces downtime, and mitigates cybersecurity vulnerabilities compared to WiFi networks. All measurements are anonymized and contain no personally identifiable information (PII) or protected health information (PHI). The dataset is suitable for independent validation, secondary analysis, modeling studies, and future meta-analyses on digital health infrastructure, biomedical engineering, IoT reliability, or cold-chain management. File Contents (recommended for your README): latency_data.csv – Raw latency measurements for WiFi and cellular across facility types uptime_metrics.csv – Daily/weekly system uptime for each communication type alert_timings.csv – Detection-to-alert interval data for representative case studies cybersecurity_events.csv – Aggregated breach incident categorization (WiFi-linked vulnerabilities) environmental_notes.txt – Notes on site conditions (interference sources, rural/urban classification) metadata.json – Variable definitions, units, and data dictionary Funding:No external funding was used. Data Origin:All data were collected through operational deployments of the PharmaWatch® environmental monitoring system and aggregated performance logs from 250+ monitored healthcare sites (2024). Reuse License Recommendation:CC-BY 4.0 — to allow citation and reuse with attribution.
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Zenodo
创建时间:
2025-12-01
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