Location-Based Distributed Ledger for Vehicular Data Integrity
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Solution Overview
Problem
Current vehicular communication systems lack efficient mechanisms for location-based data sharing and consensus-building among vehicles and roadside units, which is crucial for enhancing safety and efficiency on roads, especially in scenarios like merging areas where coordinated actions are necessary.
Innovation Solution
A location-based distributed ledger system using a blockchain architecture, where vehicles and roadside units form groups based on physical proximity, allowing for secure and efficient storage and verification of vehicular data, including smart contracts that define behavioral rules and prioritize actions, with consensus mechanisms ensuring data integrity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed ledger system is implemented for vehicular communication, then data integrity and security are improved, but system complexity increases
Solution Approach 1:
The system segments the vehicular network into multiple geographic zones, each with its own distributed ledger node. This segmentation allows localized data processing and consensus, reducing the complexity burden on individual vehicles while maintaining overall system reliability through distributed validation across zones.
Solution Approach 2:
Roadside units serve as intermediary nodes between vehicles and the central server. These intermediaries pre-process and validate data before it enters the distributed ledger, reducing the computational burden on individual vehicles and simplifying the consensus process while maintaining data integrity.
2Reliability
If location-based access permission is implemented, then data security is improved, but measurement precision requirements increase
Solution Approach 1:
The system implements different access permission levels for different geographic zones. Instead of requiring high-precision location data everywhere, the system creates localized security zones where vehicles within specific geographic boundaries automatically receive appropriate access permissions, reducing measurement precision requirements while maintaining security.
Solution Approach 2:
The system creates virtual copies of geographic zones and access permissions that can be independently managed. Multiple virtual zones can be instantiated without requiring precise physical delimitation, allowing flexible security zones based on logical rather than purely physical boundaries.
3Loss of time
If real-time data verification is implemented, then response time is improved, but processing speed requirements increase
Solution Approach 1:
The system performs preliminary validation of data format and basic integrity checks at the roadside unit level before data enters the distributed ledger. This preliminary action filters out obviously invalid data early, reducing the processing burden during real-time verification and allowing faster response times without requiring extremely high processing speeds for all validation steps.
Solution Approach 2:
The system implements selective verification where not all data requires full cryptographic validation. For critical safety data, full verification is performed; for less critical data, lighter validation is applied. This partial action approach maintains real-time response for essential operations while reducing overall processing speed requirements.
Data Source
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AI summary
An electronic device that is configured as a host of a distributed ledger, the permission to access the distributed ledger being location based. Applications are in vehicle to vehicle communication, vehicle to infrastructure communication, unmanned aerial vehicle control and retail.