Sensor Data Communication Quality Prediction for Stable Throughput
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Solution Overview
Problem
Existing data transmission systems for movable bodies or workers fail to effectively cope with sudden fluctuations in communication throughput due to movement, as they cannot restrict velocity or stop at optimal positions to maintain communication quality.
Innovation Solution
A data distribution system that includes prediction means to forecast communication quality based on sensor data, determination means to adjust transmission parameters, and encoding means to encode data accordingly, ensuring stable transmission despite movement-related throughput fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the transmission apparatus moves along with a movable body or worker, then the data collection capability is improved, but sudden fluctuation in communication throughput occurs due to movement and interposition of shields
Solution Approach 1:
The communication quality prediction apparatus predicts future communication quality before the actual transmission occurs. By analyzing current sensor data and communication state, the system forecasts communication quality in advance, allowing the transmission apparatus to prepare appropriate transmission parameters before entering poor communication zones, thus preventing throughput fluctuations rather than reacting to them
Solution Approach 2:
The system dynamically adjusts transmission parameters based on predicted communication quality. The determination means modifies encoding parameters, transmission power, and other settings in real-time according to the predicted communication state, enabling the transmission apparatus to adapt its behavior to changing environmental conditions and maintain stable throughput despite movement
2Reliability
If terminal control is performed to avoid sudden fluctuation by restricting velocity to 5 km/h and stopping at road shoulder, then communication quality stability is improved, but operational efficiency and productivity deteriorate
Solution Approach 1:
Instead of imposing fixed velocity restrictions and mandatory stopping rules, the system changes transmission parameters (encoding rate, power, modulation scheme) based on predicted communication quality. This allows the movable body to maintain its operational trajectory and speed while the transmission parameters are adjusted to compensate for poor communication conditions, preserving both stability and productivity
3Reliability
If communication quality prediction and parameter adjustment are implemented, then sudden fluctuation in communication throughput is avoided, but device complexity increases
Solution Approach 1:
The communication quality prediction apparatus utilizes sensor data that is already being collected for the primary purpose of determining movable body state (position, velocity, acceleration). By repurposing this existing sensor data for communication quality prediction, the system avoids adding dedicated prediction hardware and reduces overall system complexity while still achieving the benefit of predicted communication quality
Data Source
AI summary
A data distribution system includes a first prediction part for predicting communication quality of a network used for transmission of first sensor data based on the first sensor data; a determination part for determining a parameter related to transmission quality of the first sensor data according to the communication quality predicted by the first prediction part; an encoding part for encoding the first sensor data using the parameter related to the transmission quality of the first sensor data; and a transmission part for transmitting the encoded first sensor data via the network.