Edge Node AR Content Delivery via Proximity
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Solution Overview
Problem
Existing systems for delivering high-resolution augmented reality content to mobile devices face challenges with high latency due to the inefficiencies in current infrastructure, which can disrupt the seamless overlay of virtual content onto the real world, especially in location-based augmented reality applications.
Innovation Solution
The implementation of a content delivery network that identifies and directs edge nodes to store specific subsets of augmented reality data based on geographic location and user demographics, allowing for proximate nodes to quickly deliver data to mobile devices, thereby reducing latency and improving network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional content delivery networks are used to deliver high-resolution augmented reality content, then content can be delivered to mobile devices, but high latency occurs due to large amounts of data moving slowly through sprawling networks
Solution Approach 1:
The patent segments the content delivery network into multiple distributed edge nodes geographically positioned throughout the service region. Each edge node stores and delivers content locally, dividing the monolithic network into smaller, faster segments that reduce data travel distance and latency.
Solution Approach 2:
The patent implements preliminary action by pre-positioning augmented reality content at geographically distributed edge nodes before user requests arrive. This advance distribution eliminates the need to fetch content from centralized servers during actual use, dramatically reducing delivery latency.
2Reliability
If high-resolution augmented reality content is delivered through traditional networks, then content can reach mobile devices, but the sprawling network structure causes data to move slowly
Solution Approach 1:
The patent introduces edge nodes as intermediary elements between centralized content sources and end-user mobile devices. These intermediaries cache and locally serve content, acting as mediators that speed up delivery while maintaining reliability through distributed redundancy.
Solution Approach 2:
The patent adds a spatial dimension to content delivery by distributing edge nodes across geographic locations rather than relying on a single centralized network structure. This dimensional transformation allows content to be delivered from the nearest edge node, reducing network path length and improving speed.
3Device complexity
If content is delivered from centralized servers, then network management is simplified, but latency increases due to the distance data must travel
Solution Approach 1:
The patent segments the centralized server model into multiple distributed edge nodes, each independently capable of serving content. While this increases structural complexity, automated provisioning and coordination mechanisms manage the distributed system, trading manageable complexity for dramatically reduced delivery time.
Data Source
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AI summary
The disclosed computer-implemented method may include (i) identifying, by a content delivery network, (a) a set of edge nodes that are managed by the content delivery network and that are distributed in a plurality of physical locations and (b) a set of augmented reality data, (ii) directing each edge node in the set of edge nodes to store a subset of the set of augmented reality data that is designated for use at a physical location that is serviced by the edge node, (iii) detecting a request from a mobile device for an item of augmented reality data, (iv) selecting a node within the set of edge nodes based at least in part on a proximity of the node to the mobile device, and (v) directing the node to send the item of augmented reality data to the mobile device. Various other methods, systems, and computer-readable media are also disclosed.