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en:iot-open:introduction:introduction_to_data-related_design_questions_of_iot [2023/11/21 16:52] – pczekalskien:iot-open:introduction:introduction_to_data-related_design_questions_of_iot [2023/11/23 18:08] (current) – pczekalski
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-====== Data Management Aspects in IoT ====== 
  
 +====== Data Management Aspects in IoT ======
 +{{:en:iot-open:czapka_m.png?50| General audience classification icon }}\\
 Data management is a critical task in IoT. Data management is a critical task in IoT.
 Due to the high number of devices (things) already available, that is tens of billions. Considering the data traffic generated by each of them through, e.g. sensor networks, infotainment (soft news) or surveillance systems, mobile social network clients, and so on, we are now even beyond the ZettaByte (ZB 2^70, 10^21 bytes) era. Due to the high number of devices (things) already available, that is tens of billions. Considering the data traffic generated by each of them through, e.g. sensor networks, infotainment (soft news) or surveillance systems, mobile social network clients, and so on, we are now even beyond the ZettaByte (ZB 2^70, 10^21 bytes) era.
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   * **Data source** - data generation and production is a relevant part of IoT, involving sensors probing the physical system. In a cyber-physical-social system view, such sensors could be virtual (e.g. software) or even human (e.g. citizens, crowdsensing). The main issues in data production are related to the type and format of data, heterogeneity in measurements and similar issues. Semantics is the key to solving these issues through specific standards such as Sensor Web Enablement and Semantic Sensor Networks.   * **Data source** - data generation and production is a relevant part of IoT, involving sensors probing the physical system. In a cyber-physical-social system view, such sensors could be virtual (e.g. software) or even human (e.g. citizens, crowdsensing). The main issues in data production are related to the type and format of data, heterogeneity in measurements and similar issues. Semantics is the key to solving these issues through specific standards such as Sensor Web Enablement and Semantic Sensor Networks.
-  * **Data collection/gathering** - once data are generated, these should be gathered and made available for processing. The collection process needs to ensure that the data collected are defined and accurate so that subsequent decisions based on the findings are valid. Some types of data collection include census (data collection about everything in a group or statistical population), sample survey (collection method that provides for only part of the total population), and administrative byproduct (data collection is a byproduct of an organization’s day-to-day operations). Usually, wireless communication technologies such as Zigbee, BlueTooth, LoRa, Wi-Fi and 3G/4G networks are used by IoT smart objects and things to deliver data to collection points,+  * **Data collection/gathering** - once data are generated, these should be gathered and made available for processing. The collection process needs to ensure that the data collected are defined and accurate so that subsequent decisions based on the findings are valid. Some types of data collection include census (data collection about everything in a group or statistical population), sample survey (collection method that provides for only part of the total population), and administrative byproduct (data collection is a byproduct of an organization’s day-to-day operations). Usually, wireless communication technologies such as Zigbee, BlueTooth, LoRa, Wi-Fi and 3G/4G networks are used by IoT smart objects and things to deliver data to collection points.
   * **Filtering** - is a specific preprocessing activity, usually performed at data source or data collector (IoT) nodes (e.g. motes, base stations, hotspots, gateways), aiming at cleaning noisy data, filtering noise and not helpful information.   * **Filtering** - is a specific preprocessing activity, usually performed at data source or data collector (IoT) nodes (e.g. motes, base stations, hotspots, gateways), aiming at cleaning noisy data, filtering noise and not helpful information.
   * **Aggregation/fusion** - to reduce bandwidth before sending data to processing nodes, these are further elaborated, compressed, aggregated and fused (sensor/data fusion) to reduce the overall volume of raw data to be transmitted and stored.   * **Aggregation/fusion** - to reduce bandwidth before sending data to processing nodes, these are further elaborated, compressed, aggregated and fused (sensor/data fusion) to reduce the overall volume of raw data to be transmitted and stored.
en/iot-open/introduction/introduction_to_data-related_design_questions_of_iot.1700578348.txt.gz · Last modified: by pczekalski
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