เปรียบเทียบวิธี

	การรวบรวมข้อมูลเซ็นเซอร์ออนไลน์	การเก็บรวบรวมข้อมูลด้วย API
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	Late 1990s–early 2000s (Internet of Things paradigm formalized ~2000)	2000s–2010s (formalized as a research method)
ผู้ริเริ่ม	Akyildiz et al. (foundational survey); DARPA SensIT programme (~2000)	Emerged from computational social science and web 2.0 platform practices
ประเภท	Quantitative / mixed-mode data collection technique	Digital 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.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
ชื่อเรียกอื่น	networked sensor data collection, IoT data collection, remote sensor monitoring, wireless sensor data acquisition	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
ที่เกี่ยวข้อง	6	5
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.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.