Adaptive Data Transfer Device for IoT Communication Efficiency
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Solution Overview
Problem
Conventional MPTCP and MPRTP techniques suffer from low communication efficiency due to duplicated data transmission, resulting in high delay and poor reachability, while carrier aggregation lacks redundancy, leading to unstable data transfer in IoT devices.
Innovation Solution
A method that dynamically determines the necessity of communication path redundancy and data compression based on communication quality, implementing inter-data compression and redundant data transmission to improve communication efficiency and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MPTCP is used to improve reliability and reduce delay through multiple communication paths, then communication quality improves, but communication efficiency deteriorates due to duplicated data transmission
Solution Approach 1:
The patent dynamically changes the transmission parameters (compression level, path redundancy) based on network conditions and data characteristics. It adjusts whether to use multiple paths and whether to compress data, transforming fixed MPTCP behavior into adaptive parameter selection that optimizes both reliability and efficiency
Solution Approach 2:
The system dynamically determines communication strategy based on real-time conditions. It evaluates data overlap between devices and network state to decide whether to employ path redundancy or data compression, making the system flexible rather than static in its approach to multi-path communication
2Productivity
If MPRTP or carrier aggregation is used to reduce data duplication, then communication efficiency improves, but reliability and delay performance deteriorate
Solution Approach 1:
The patent adjusts the redundancy parameter dynamically - sometimes using redundant paths, sometimes using compression instead. This parameter change allows the system to achieve both efficiency and reliability by selecting the appropriate strategy based on data characteristics and network conditions
3Productivity
If data compression is applied to reduce traffic, then communication efficiency improves, but communication quality may deteriorate due to loss of information
Solution Approach 1:
The patent applies different quality levels to different data portions. It performs lossless compression on critical control information while allowing lossy compression on less critical data, creating local quality variations that maintain overall communication quality while improving efficiency
Solution Approach 2:
The compression level is dynamically adjusted based on data importance and network conditions. The system changes compression parameters to balance between efficiency gains and quality preservation, applying stronger compression when acceptable and weaker compression when quality is critical
Data Source
AI summary
Communication quality is improved by performing, with a computer, determining whether redundancy of a communication path is necessary or not and a compression level of data based on communication quality associated with transfer of the data; compressing data to be transferred in accordance with the compression level determined; and a transmission step of, when it is determined that redundancy of the communication path is necessary, making the communication path redundant and transmitting the data to each of the resulting communication paths.