Big data analytics helps engineers develop better lighting solutions

Big data analytics helps engineers develop better lighting solutions in smart city applications. Analyzing busy times, user behavior, vehicle density, etc... will provide engineers with useful insights into areas for improvement.

Data collected from sensor networks can be used to improve smart city applications such as traffic management, water management, weather forecasting, predictive maintenance of elevators, and energy management. Analysis of vehicle motion, timing and behavior will be used to develop effective traffic control and management.

In the event of an accident or emergency, the authorities will be notified using an automatic warning system.

Autopilot

The autonomous driving concept was developed based on big data from traffic analysis and user behavior. Self-driving cars will use this data, and algorithms can be further improved to ensure road safety. Smart cars use high-end algorithms and artificial intelligence programs to perform actions in an instant based on the real-time scene around them. Analysis of traffic data in geographic areas will help improve signalling systems, thereby increasing efficiency.

Healthcare Big Data

Modern healthcare is another area where companies use big data analytics to help develop and improve patient care solutions, real-time monitoring systems, and predictive health analytics. NB Module Smart tools equipped with wireless technology can continuously monitor body temperature, blood pressure levels, changes in heartbeat and more…

In the future, smart sensors integrated with wireless technology could predict serious medical conditions such as stroke and cardiac arrest before they occur. A wealth of data from different geographic locations provides researchers with the most effective treatments for specific diseases.

Wearables are getting smarter and can handle complex tasks and gather information from individual users. This huge data pool can be used for medical research and analysis, and healthcare companies can develop effective solutions in the future.

Big Data in 5G Applications

One of the main applications of big data in 5G is the efficient use of spectrum. Analyzing data from thousands of devices will give network operators insight through loss, reflection, diffraction, multipath loss, etc... Since 5G uses millimeter waves to communicate, millions of small cells will have to be deployed during implementation.

For better user experience and management, the spectral efficiency of each network must be monitored. GPRS Module Network operators can improve their transmission efficiency by analyzing data and optimizing transmission methods (MIMO, beamforming, multiplexing).