Granular Data Transmission for Communication Overhead Reduction
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Solution Overview
Problem
Conventional information sharing systems experience unnecessary communication due to slight changes in shared data, making it inefficient.
Innovation Solution
An information processing method that determines the granularity of data change and transmits only the changed data based on this granularity, optimizing communication by eliminating unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transmitted whenever any change occurs, then data accuracy is maintained, but communication overhead increases unnecessarily
Solution Approach 1:
The patent changes the parameter of data transmission from binary (send/don't send) to granular (send only changed portions). By identifying and transmitting only the specific data elements that have changed rather than entire datasets, the system maintains data accuracy while significantly reducing communication overhead and energy consumption.
Solution Approach 2:
The patent extracts only the changed portions of data from the complete dataset for transmission. By separating changed data elements from unchanged ones and transmitting only the necessary changes, the system avoids sending redundant information while ensuring receiving devices have accurate updated data.
2Loss of information
If entire datasets are transmitted, then data completeness is ensured, but transmission efficiency decreases
Solution Approach 1:
The patent segments data into individual elements or records that can be independently identified and transmitted. By dividing complete datasets into discrete changeable units and transmitting only those that have changed, the system ensures data completeness for updated elements while improving transmission efficiency by excluding unchanged portions.
Solution Approach 2:
The patent extracts only the changed portions of data from the complete dataset for transmission. By separating changed data elements from unchanged ones and transmitting only the necessary changes, the system avoids sending redundant information while ensuring receiving devices have accurate updated data.
3Measurement precision
If high-resolution data is transmitted, then measurement precision is improved, but communication bandwidth consumption increases
Solution Approach 1:
The patent changes the parameter of data transmission from complete high-resolution datasets to selective high-resolution changes. By transmitting only changed data elements at full resolution rather than complete datasets, the system maintains measurement precision for updated elements while significantly reducing communication bandwidth consumption.
Data Source
AI summary
An information processing method executed by an information processing apparatus which transmits data to a different information processing apparatus, the method includes: receiving a granularity capable of expressing a change of the data in the different information processing apparatus; and when the data changes, transmitting the data after change to the different information processing apparatus according to the granularity received in the receiving and an extent of the change of the data.


