Sensor Data Buffer Frame Organization for Memory Efficiency
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Solution Overview
Problem
Existing sensor data buffer systems in mobile computing devices are inefficient in terms of memory usage and synchronization, leading to unnecessary processor wake-ups and data integrity issues, especially when dealing with varying subsets of measured variables and non-deterministic changes.
Innovation Solution
A sensor data buffer organized in frames, with each frame containing a header that indicates the included measured variables, metadata such as timestamps and configuration data, and markers for synchronization, allowing for compact memory usage and efficient synchronization without deleting data during parameter changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If memory space is reserved for all possible measured variables (Type A buffer), then data integrity is maintained, but memory usage efficiency deteriorates
Solution Approach 1:
The buffer is segmented into multiple independent data slots, each capable of storing different measured variables. The buffer manager dynamically assigns variables to slots based on current needs, allowing partial usage of buffer space while maintaining data integrity through structured organization and validation mechanisms.
2Adaptability or versatility
If the sensor data buffer is deleted when sensor parameters are changed, then adaptability is improved, but data loss occurs
Solution Approach 1:
The buffer structure is made dynamic through the buffer manager, which can reconfigure data slot assignments and variable mappings without deleting the buffer. This allows the system to adapt to changing sensor parameters while preserving existing data, enabling smooth transitions between different measurement configurations.
3Device complexity
If the sensor data buffer is deleted and recreated for non-deterministic changes, then synchronization is simplified, but data integrity errors increase
Solution Approach 1:
The buffer manager implements feedback mechanisms through headers in each data slot that track the state and validity of stored data. This allows the system to detect and handle synchronization issues without deleting the buffer, maintaining data integrity while managing complexity through structured state tracking and validation.
4Loss of information
If the application processor wakes up frequently to read sensor data, then data freshness is improved, but energy consumption increases
Solution Approach 1:
The buffer pre-allocates and structures data slots in advance, organizing measurement data as it arrives. This preliminary organization allows the application processor to read data efficiently during wake-up cycles without requiring frequent wake-ups, as the buffer maintains ready-to-read structured data that can be consumed in batches.
5Quantity of substance
If memory space is optimized by storing only necessary data (Type B buffer), then memory usage efficiency is improved, but synchronization complexity increases
Solution Approach 1:
The buffer manager acts as an intermediary layer between the physical buffer and the application processor. It maintains the optimized memory structure while handling synchronization complexity internally through header information and state tracking, presenting a simplified interface to the application processor and managing synchronization overhead without exposing it to higher layers.
Data Source
AI summary
A sensor system including a sensor data buffer, the sensor data buffer being configured in such a way that sensor data are organized in frames. The sensor data buffer is configured in such a way that a frame has a header and a sensor data area.