Predictive Sensor Data Transmission for Low-Bandwidth Monitoring
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Solution Overview
Problem
Existing home automation systems face network congestion and high energy consumption due to continuous data streaming from sensors, particularly acceleration sensors, which require significant bandwidth and memory capacity for storage.
Innovation Solution
A method where sensors compare new data with a prediction model, transmitting only data that deviates from the predicted values, reducing the need for continuous data transmission and memory storage, and using a supervision server to calculate and update prediction models for efficient data selection and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous data transmission from sensors is implemented, then data monitoring accuracy is improved, but network bandwidth consumption increases significantly
Solution Approach 1:
The patent extracts only the essential information (deviations from predicted values) rather than transmitting complete continuous data streams. The sensor compares measured values against predicted values and transmits only when deviations exceed a threshold, thereby maintaining monitoring accuracy while dramatically reducing network bandwidth consumption.
Solution Approach 2:
The system performs preliminary prediction of sensor values using historical data and models before actual measurement occurs. This preliminary action establishes expected values against which actual measurements are compared, enabling the system to filter out redundant transmissions in advance and reduce network traffic.
2Use of energy by moving object
If sensor data is stored in memory for later transmission, then network energy consumption is reduced, but memory capacity requirements increase
Solution Approach 1:
Instead of storing all raw sensor data in memory, the system extracts only the deviation information that exceeds prediction thresholds. This extraction approach maintains the energy benefit of intermittent transmission while dramatically reducing the memory capacity needed, as only exceptional cases are stored rather than complete data sets.
Solution Approach 2:
The patent changes the parameter being stored from complete raw sensor values to processed deviation indicators. By transforming the data representation to store only meaningful anomalies rather than full measurement sequences, the system reduces memory requirements while preserving the essential information needed for monitoring.
3Measurement precision
If high-frequency acceleration measurements are transmitted continuously, then motion detection accuracy is improved, but network congestion occurs
Solution Approach 1:
The system extracts motion events from continuous high-frequency acceleration data by comparing against predicted values. Only acceleration measurements that deviate significantly from predictions (indicating actual motion events) are transmitted, maintaining motion detection accuracy while preventing network congestion from redundant data transmissions.
Solution Approach 2:
The system performs preliminary prediction of acceleration patterns using historical data before transmitting new measurements. This preliminary action identifies expected motion patterns, allowing the system to filter out routine variations and transmit only unexpected motion events, thereby maintaining detection accuracy while preserving network throughput.
Data Source
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AI summary
The invention relates to a method for transmitting data collected by at least one sensor to a monitoring device, characterised in that it comprises, upon acquisition of a new piece of data by the at least one sensor, steps of calculating (203) a deviation indicator indicating a deviation between the value of the new piece of data and a value predicted for this piece of data by a prediction model representative of previously acquired data, and transmitting (204) the new piece of data to the monitoring device when the deviation indicator is higher than a threshold. The invention also concerns a monitoring method on a monitoring device, a terminal implementing the transmission method and a server implementing the monitoring method.