เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การรวบรวมข้อมูลเซ็นเซอร์ออนไลน์× | การเก็บข้อมูลเซ็นเซอร์เชิงระยะยาว× | |
|---|---|---|
| สาขาวิชา | ระเบียบวิธีสำรวจ | ระเบียบวิธีสำรวจ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Late 1990s–early 2000s (Internet of Things paradigm formalized ~2000) | 1990s–2000s (accelerated with IoT and wearable devices from ~2010) |
| ผู้ริเริ่ม≠ | Akyildiz et al. (foundational survey); DARPA SensIT programme (~2000) | Emerging from ambulatory assessment and wearable technology research communities |
| ประเภท≠ | Quantitative / mixed-mode data collection technique | Longitudinal quantitative/mixed data collection technique |
| แหล่งต้นตำรับ≠ | Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4), 393–422. DOI ↗ | Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2005). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling, 14(4), 671–694. [For longitudinal intensive repeated-measures designs context, see also: Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.] link ↗ |
| ชื่อเรียกอื่น | networked sensor data collection, IoT data collection, remote sensor monitoring, wireless sensor data acquisition | long-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collection |
| ที่เกี่ยวข้อง≠ | 6 | 3 |
| สรุป≠ | Online sensor data collection is a systematic technique for gathering continuous or event-triggered measurements from physical sensors that transmit readings in real time over a network — the internet, a local wireless network, or a dedicated IoT protocol. It is used widely in environmental monitoring, health informatics, smart-city research, industrial systems, and behavioral science to capture objective, high-frequency data without requiring manual recording by participants or observers. | Longitudinal sensor data collection deploys physical or digital sensors to record phenomena continuously or at regular intervals across an extended study period — days, months, or years. Unlike one-shot measurement, the repeated temporal structure captures change, trajectory, and variability in outcomes such as physical activity, environmental exposure, sleep, or physiological state. The approach combines the ecological validity of real-world sensing with the analytical power of longitudinal design. |
| ScholarGateชุดข้อมูล ↗ |
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