US Patent Application 17726104. SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY INFORMATION CONTROL WITH REINFORCED LEARNING simplified abstract
SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY INFORMATION CONTROL WITH REINFORCED LEARNING
Organization Name
Inventor(s)
Ofir Ezrielev of Be'er Sheva (IL)
Jehuda Shemer of Kfar Saba (IL)
SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY INFORMATION CONTROL WITH REINFORCED LEARNING - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17726104 Titled 'SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY INFORMATION CONTROL WITH REINFORCED LEARNING'
Simplified Explanation
The abstract describes methods and systems for managing data collection. A system is designed with a data aggregator and data collectors. The data aggregator uses an inference model to predict how the data collectors will operate in the future. It also uses a pattern selection model to determine when and how often to sample data from the data collectors. The pattern may specify that certain data collectors should not be sampled at certain times. This approach allows the system to transmit less data, use less network bandwidth, and consume less energy while still providing access to aggregated data.
Original Abstract Submitted
Methods and systems for managing data collection are disclosed. To manage data collection, a system may include a data aggregator and data collectors. The data aggregator may utilize an inference model to predict the future operation of data collectors, and a pattern selection model to sample data from data collectors at a specific frequency and sequence. The pattern may specify that some data collectors are not to be sampled at various points in time. By doing so, the system may be able to transmit less data, consume less network bandwidth, and consume less energy throughout a distributed system while still providing access to aggregated data.
