Digital Representation Migration for Edge Cloud V2I Latency
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Solution Overview
Problem
Current network and cloud infrastructures face challenges in supporting Intelligent Moving Objects (IMOs) like connected cars, which experience network congestion and service delays due to limited communication ranges and sequential access to remote clouds, leading to unreliable V2I and V2V communications.
Innovation Solution
The creation of digital representations of physical IMOs in edge clouds closest to their location, allowing for dynamic network connections and migration with the physical IMO, enabling efficient data exchange and decision-making through omnidirectional communication interfaces and virtual agility features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If physical IMOs access data through sequential access of multiple remote clouds, then V2I communication can reach distant traffic signal information, but network traffic increases and service delay increases
Solution Approach 1:
The patent segments the centralized cloud access into distributed edge cloud nodes deployed at different locations. Instead of sequential access to multiple remote clouds, each edge cloud node independently serves local IMOs, dividing the monolithic cloud system into smaller functional units that reduce latency and network traffic.
Solution Approach 2:
The patent introduces edge cloud nodes as intermediary components between IMOs and the central cloud. These edge clouds act as local mediators that cache and process data locally, reducing the need for sequential remote cloud access and minimizing service delay while maintaining connectivity to the central cloud when needed.
2Reliability
If physical IMOs use dedicated short-range communications (DSRC) for V2V, then direct communication is enabled, but communication range is limited to several hundreds of meters
Solution Approach 1:
The patent transitions from two-dimensional ground-based DSRC communication to three-dimensional aerial communication using drones as mobile edge cloud nodes. This dimensional change allows V2V communication to extend beyond the horizontal limitations of DSRC by utilizing vertical space and aerial mobility, achieving both reliability and extended range.
Solution Approach 2:
The patent makes the edge cloud infrastructure dynamic by using mobile drones that can reposition themselves based on real-time needs. Instead of fixed ground-based edge clouds, the system dynamically deploys aerial edge clouds to follow or approach IMOs, adapting the communication infrastructure to the moving objects rather than constraining them to fixed locations.
3Productivity
If digital representation is created in edge cloud closest to physical IMO, then network traffic and service delay are reduced, but system complexity increases
Solution Approach 1:
The patent creates digital representations (virtual copies) of physical IMOs in edge cloud nodes. Instead of direct complex interactions between physical objects and central cloud, the system copies essential IMO data and state into edge cloud digital twins, simplifying the architecture by allowing local processing and communication between copies rather than requiring complex real-time synchronization across the entire system.
Data Source
AI summary
Systems and methods including identifying a physical intelligent moving object (IMO), the physical IMO associated with a current location and a service request; creating, from a digital representation template that is based on the service request, a digital representation instance of the physical IMO in a particular edge cloud of a distributed cloud computing environment that is closest to the current location of the physical IMO; in response to creating the digital representation instance, establishing a network connection between the digital representation and the physical IMO using the particular edge cloud; detecting a movement of the physical IMO from coverage of the particular edge cloud; in response to detecting the movement of the physical IMO: identifying a target edge cloud of the distributed cloud computing environment for coverage of the physical IMO; and establishing a network connection between the digital representation and the physical IMO using the target edge cloud.