Vehicular Data Redundancy Identification and Removal
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Solution Overview
Problem
Connected vehicles face challenges in managing the increasing bandwidth and data storage requirements due to redundant data from various sources, which taxes communication interfaces and inefficiently uses data transfer resources.
Innovation Solution
A system and method for identifying and removing redundant data by evaluating data from multiple sources, determining the best storage location based on flow characteristics, and deciding which data items to maintain or eliminate, either on-board the vehicle or externally, such as in the cloud, to optimize data storage and transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is collected from multiple different sources to enhance connected vehicle operations, then data completeness and operational capability are improved, but bandwidth requirements and data storage needs increase
Solution Approach 1:
The system merges data from multiple sources (vehicle sensors, infrastructure, other vehicles) and identifies redundancies by comparing data characteristics. When redundant data is detected, the system consolidates storage by keeping only one copy, thereby maintaining data completeness while reducing overall bandwidth requirements and storage needs.
2Reliability
If redundant data is retained to ensure data availability, then reliability is improved, but communication interface capacity is overwhelmed
Solution Approach 1:
The system extracts and identifies redundant data items by comparing data characteristics from multiple sources. When redundancy is detected, the system removes duplicate copies while maintaining a single instance of the data, thereby reducing communication interface capacity requirements while preserving data availability through the retained copy.
3Loss of information
If all data items are stored to prevent data loss, then information completeness is maintained, but power consumption increases
Solution Approach 1:
The system merges data from multiple sources and identifies redundant items through characteristic comparison. By consolidating storage to keep only non-redundant data items, the system maintains information completeness for unique data while significantly reducing the power consumption associated with storing and managing duplicate data copies.
Data Source
AI summary
Systems and methods are provided for data storage for a subject vehicle and include receiving data items at the subject vehicle data from a plurality of data sources and determining whether a data item received from one of the plurality of data sources is redundant with a data item already captured by the subject vehicle. If so, the system eliminates the redundant data item to obtain a nonredundant data set of nonredundant data items and determines whether to store a nonredundant data item of the nonredundant data set based on flow characteristics of the nonredundant data item.