Wireless technology has always been an essential element in every electronic system that uses radio waves to transmit and receive data. In the age of IoT, big data and machine learning, wireless technology plays an important role in keeping systems functioning properly. CAN Module The following are some important applications of wireless technology in big data analysis.
Our daily activities with electronic devices generate vast amounts of data in the form of documents, images, videos, social media uploads or interactions. As the amount of data grows exponentially every year, we should have a very efficient way to store, process, and analyze data on the fly.
The big data concept is a system of complex software tools and hardware used to collect large amounts of data, securely store in thousands of cloud servers, and use powerful algorithms for processing, real-time analysis, and visualization.
What is the scope of wireless technology in big data?
Because most modern electronic devices use radio frequency (RF) as a medium for communicating with other devices and the Internet, wireless technologies provide information input (for big data analysis) using wireless sensor networks that send information from millions of individual nodes to the cloud server. Likewise, big data analytics is also playing an important role in effectively implementing and optimizing RF and wireless technologies such as LTE, IoT and 5G.
Big Data Using IoT
The Internet of Things connects billions of smart devices and sensor networks to the Internet every year to support a variety of applications. Smart sensors using wireless technology are one of the important components of the Internet of Things.
Smart Home and Construction
Smart sensor technology can be used in smart building concepts that collect data on room temperature, light, air quality, humidity and movement (using proximity detectors). The sensors will connect to wireless networks and cloud servers, continuously recording data collected from the building. Using data analysis, efficient energy management (transmission power, peak usage time, idle time, areas for improvement) can be achieved.
Users can remotely monitor the data and make necessary modifications. Easier visualization of data through web browsers and mobile apps for better convenience for users.
Industrial IoT
The Industrial Internet of Things uses thousands of smart wireless sensors to collect real-time data in the form of temperature, pressure, humidity, liquid flow, etc... and transmit this information over wireless networks. This massive amount of data will be processed in the cloud server, and the end user can see the analysis data immediately.
Industry can utilize data collected from sensor networks to improve process steps, products and planned maintenance etc... Engineers can improve product quality and manufacturing stages by continuously monitoring data. In the long run, data analytics will help manufacturers reduce costs, avoid unnecessary machine failures, etc…
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