Vehicle Sensor Data Indexing for Distributed Offloading
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Solution Overview
Problem
Modern vehicles generate vast amounts of sensor data, which poses challenges for offloading and processing due to limitations in communication pathways and computing resources, leading to bottlenecks and increased storage and processing loads for central data systems.
Innovation Solution
A system that utilizes indexes of vehicle data to identify distributed devices that may contain the data, allowing for selective and efficient offloading by querying and retrieving only the relevant data from these devices, thereby reducing the burden on communication pathways and computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is offloaded from vehicles to central cloud systems, then complete data availability is achieved, but communication bandwidth requirements and storage costs become prohibitively high
Solution Approach 1:
The patent extracts only the essential metadata from the massive sensor data sets, creating a compressed representation that preserves queryability while reducing volume by factors of thousands. This allows the system to maintain data availability for searching and retrieval without transmitting or storing the complete raw data sets in the central cloud.
Solution Approach 2:
Instead of centralizing all data in the cloud and retrieving it when needed, the system inverts the approach by distributing processed metadata back to edge devices. This enables local query processing and selective data retrieval, eliminating the need to maintain complete data sets centrally while preserving full data availability through distributed storage.
2Loss of energy
If sensor data is processed and stored at distributed edge devices, then communication bandwidth is reduced, but data retrieval efficiency decreases without centralized indexing
Solution Approach 1:
The system performs preliminary processing of sensor data at the edge to extract and store metadata before any retrieval operation occurs. This advance preparation enables instant query response from distributed devices without requiring centralized processing, thus reducing both communication energy and retrieval time simultaneously.
Solution Approach 2:
The patent introduces metadata as an intermediary layer between the distributed sensor data and query operations. This metadata acts as a searchable index that enables efficient data retrieval without requiring direct access to the full data sets, solving the contradiction between distributed storage efficiency and retrieval speed.
3Stability of the object's composition
If a centralized system stores and processes all vehicle data, then data consistency is maintained, but processing loads and operational costs become unsustainable
Solution Approach 1:
The patent segments the monolithic centralized data system into distributed edge nodes that independently store and process their own metadata. This segmentation maintains data consistency within each segment while distributing processing loads across multiple nodes, making the overall system scalable and sustainable without requiring excessive centralized processing power.
Data Source
AI summary
System, methods, and other embodiments described herein relate to improving data offloading in a mobile context by using indexes of the data to identify distributed devices that may include the data and selectively querying identified devices for the data. In one embodiment, a method includes, responsive to receiving a query for selected data stored among one or more distributed devices, identifying, by a query device, at least one target device of the distributed devices that matches the selected data using an index of vehicle data stored on the distributed devices. The method includes providing, by the query device, a request to the at least one target device to cause the at least one target device to retrieve the selected data stored locally at the target device. The method includes receiving the selected data from the target device. The method includes providing the selected data as an electronic output.