Vehicular Micro Cloud Dynamic Property Adjustment
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Solution Overview
Problem
Existing vehicular micro clouds have static properties that become obsolete as environmental conditions change, rendering them unable to effectively share resources and navigate through dynamic environments.
Innovation Solution
A system and method for dynamically updating an existing vehicular micro cloud by determining environmental parameters, identifying their impact on associated vehicles, and adjusting properties to address these impacts, using a processor-based system with modules for environment parameter determination, impact identification, and vehicular micro cloud updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If properties of vehicular micro cloud are set statically when formed, then initial configuration is simple and stable, but the system becomes obsolete when environmental conditions change
Solution Approach 1:
The patent applies dynamics by transitioning the vehicular micro cloud properties from static to dynamic. The system continuously monitors environmental parameters (traffic conditions, weather, road status) and automatically adjusts micro cloud properties such as member vehicles, communication protocols, and resource allocation strategies. This enables the system to adapt to changing environments while maintaining reliable resource sharing through automated reconfiguration.
Solution Approach 2:
The patent implements parameter changes by modifying key properties of the vehicular micro cloud based on environmental conditions. When environmental parameters change (e.g., traffic congestion, weather conditions), the system adjusts parameters such as the set of member vehicles, communication frequency, data sharing protocols, and resource allocation. This allows the system to maintain optimal performance across varying operational conditions.
2Productivity
If vehicular micro cloud properties remain static, then system complexity is reduced, but the system cannot effectively share resources in dynamic environments
Solution Approach 1:
The patent applies self-service by enabling the vehicular micro cloud to automatically monitor its own environmental parameters and autonomously adjust its properties without external intervention. The system uses onboard sensors and communication systems to detect environmental changes and automatically reconfigures resource sharing protocols, member vehicle inclusion/exclusion, and communication strategies, thereby maintaining high productivity without requiring complex external management.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring environmental parameters and using this information to adjust micro cloud properties. The system establishes feedback loops where sensor data about traffic conditions, weather, and road status feeds into automated decision-making algorithms that modify resource sharing effectiveness. This feedback-driven approach maintains high productivity while managing complexity through rule-based automated responses.
3Adaptability or versatility
If the vehicular micro cloud adapts dynamically to environmental changes, then resource sharing effectiveness improves, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the dynamic adjustment system into modular functional components: environmental parameter monitoring modules, impact identification modules, property determination modules, and update execution modules. Each module handles specific aspects of the adaptation process independently, allowing the system to achieve high adaptability while managing complexity through modular architecture. This segmentation enables independent development, testing, and maintenance of each functional component.
Data Source
AI summary
Systems, methods, and other embodiments described herein relate to dynamically updating an existing vehicular micro cloud. In one embodiment, a method includes determining one or more parameters of an environment around a plurality of vehicles, and identifying an impact of the one or more parameters of the environment on one or more of the plurality of vehicles associated with the existing vehicular micro cloud. The method includes identifying one or more properties of the existing vehicular micro cloud. The method includes determining which adjustment to the one or more properties of the existing vehicular micro cloud can address the impact, and updating the one or more properties based on the determination.