विधियों की तुलना करें

	ऑनलाइन सेंसर डेटा संग्रह	मोबाइल अनुभव नमूनाकरण
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	Late 1990s–early 2000s (Internet of Things paradigm formalized ~2000)	1983
प्रवर्तक	Akyildiz et al. (foundational survey); DARPA SensIT programme (~2000)	Mihaly Csikszentmihalyi & Reed Larson
प्रकार	Quantitative / mixed-mode data collection technique	Intensive longitudinal data collection technique
मौलिक स्रोत	Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4), 393–422.	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
उपनाम	networked sensor data collection, IoT data collection, remote sensor monitoring, wireless sensor data acquisition	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
संबंधित	6	5
सारांश	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.	Mobile Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life.