Stationary Vehicular Micro Clouds for Event-Driven V2X Resource Allocation
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Solution Overview
Problem
Existing solutions for forming stationary vehicular micro clouds are limited as they are pre-assigned and do not allow for on-demand formation responsive to specific events, such as roadway incidents, which can lead to inefficient use of computing resources and inadequate response to changing driving conditions.
Innovation Solution
A vehicular cloud planner system and client collaborate to form on-demand stationary vehicular micro clouds by determining event data, building an event template base, and initiating the formation of micro clouds in response to specific conditions, such as lane closures or traffic accidents, using Vehicle-to-Everything (V2X) networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-assigned stationary vehicular micro clouds are formed, then network infrastructure is simplified, but responsiveness to changing driving conditions deteriorates
Solution Approach 1:
The system transitions from static pre-assigned micro clouds to dynamic on-demand formation. The vehicular cloud client continuously monitors driving conditions and automatically forms or dissolves micro clouds based on real-time needs, making the system adaptable while maintaining simplified infrastructure through automated decision-making algorithms.
Solution Approach 2:
The system changes the operational parameters of micro clouds from fixed pre-assigned configurations to flexible on-demand configurations. By monitoring parameters such as traffic density, accident presence, and road conditions, the system dynamically adjusts micro cloud formation parameters including member vehicles, geographic scope, and operational duration.
2Adaptability or versatility
If on-demand stationary vehicular micro clouds are formed, then responsiveness to driving conditions improves, but device complexity increases
Solution Approach 1:
The vehicular cloud client autonomously monitors driving conditions, detects events, and initiates micro cloud formation without requiring complex centralized control. The system serves itself by automatically making decisions about when and where to form micro clouds based on predefined criteria, reducing the need for complex external management infrastructure.
Solution Approach 2:
The system pre-configures event templates and detection criteria in advance. When specific driving conditions or events are detected, the pre-prepared templates enable rapid automated response for micro cloud formation, reducing the computational complexity required during real-time decision-making.
3Loss of energy
If computing resources are statically allocated, then network traffic load is reduced, but resource utilization efficiency deteriorates
Solution Approach 1:
The system dynamically allocates computing resources within micro clouds based on real-time driving conditions and task requirements. Rather than static allocation, resource distribution adjusts automatically as vehicles join or leave the micro cloud and as task demands change, optimizing both network traffic reduction and resource utilization efficiency.
Solution Approach 2:
Computing resources are allocated locally within geographic micro clouds rather than uniformly across the entire network. Each micro cloud optimizes resource distribution according to its specific local conditions and task requirements, improving overall network efficiency by matching resource allocation to local needs.
Data Source
AI summary
The disclosure includes embodiments for forming an on-demand stationary vehicular micro cloud. In some embodiments, a method for a connected vehicle includes receiving event data that describes a set of events configured for triggering a creation of the on-demand stationary vehicular micro cloud. The method includes receiving sensor data that describes a roadway environment. The method includes detecting, based at least in part on the sensor data, an occurrence of at least one event included in the set of events. The method includes modifying an operation of a communication unit of the connected vehicle to initiate the creation of the on-demand stationary vehicular micro cloud to address the occurrence of the at least one event.