Data Sequence Alignment for Reduced Transmission Volume
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data collection systems face challenges in efficiently managing data transmission over communication systems, leading to increased network bandwidth consumption and power usage.
Innovation Solution
The system employs a data aggregator and data collector that use a consensus sequence to reduce data transmission. The consensus sequence is generated based on frequent patterns in data sets, allowing data collectors to transmit reduced-size data, which is then reconstructed by the data aggregator without accessing the original data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data collectors transmit all original data to the data aggregator, then data accuracy is maintained, but network bandwidth consumption and power usage increase
Solution Approach 1:
The patent extracts only the essential information from the original data by generating reduced-size data representations that capture key patterns and trends. Data collectors transmit these compressed representations instead of complete datasets, maintaining analytical accuracy while reducing transmission volume and power consumption.
Solution Approach 2:
The system transforms data from its original form into a reduced-size representation by changing parameters such as data resolution, sampling rate, or compression level. This allows the data to retain sufficient information for analysis while occupying less bandwidth and consuming less energy during transmission.
2Loss of information
If data collectors transmit all original data to the data aggregator, then complete data access is ensured, but network bandwidth consumption increases
Solution Approach 1:
The patent creates simplified copies or representations of the original data that preserve essential information while reducing size. These data representations serve as sufficient substitutes for complete datasets, allowing the aggregator to perform analysis without receiving every original data point, thus conserving network bandwidth.
3Quantity of substance
If data reduction is applied to minimize transmission, then bandwidth and power are conserved, but data transmission complexity increases
Solution Approach 1:
The patent implements a universal data representation format that can be applied across different data types and sources. This standardized approach simplifies the overall system complexity by providing a consistent method for data reduction, making the process more manageable despite the inherent complexity of compression and reconstruction operations.
Data Source
AI summary
Methods and systems for managing data collection throughout a distributed environment are disclosed. To manage data collection, a system may include a data aggregator and a data collector. The data collector may utilize a consensus sequence to generate reduced-size data transmissions. The consensus sequence may be made up of patterns of data that occur frequently in data collected by the data collector. Therefore, data collected by the data collector may be condensed by replacing segments of the data with pointer pairs, pointer pairs being indicators of a portion of the consensus sequence that matches a segments of data. The data collector may transmit these pointer pairs, along with any additional segments of data, to the data aggregator instead of transmitting full data sets. The data aggregator may reconstruct data from the data collectors using the reduced-size data and the consensus sequence.