Location-Aware Content Slicing for Edge Device Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Resource-constrained edge devices face challenges in efficiently delivering content due to varying user device capabilities, storage capacity, and travel distances from the hub circuitry, leading to suboptimal content transmission.
Innovation Solution
A location-aware learning system that determines the type and amount of content to transmit based on user device storage capacity, travel distance, and learning capacity, adjusting file sizes and formats to optimize content delivery by slicing files into manageable chunks and converting between video, audio, and text formats as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is transmitted to user devices with varying capabilities, then content delivery coverage is improved, but transmission efficiency deteriorates due to suboptimal content transmission
Solution Approach 1:
The system segments content into multiple slices with different granularities based on user device capabilities. The processor divides content into fine-grained slices for resource-constrained devices and coarse-grained slices for devices with larger storage, enabling efficient transmission adapted to each device type.
Solution Approach 2:
The system dynamically adjusts content slicing granularity and transmission parameters based on real-time assessment of user device capabilities, storage capacity, and travel distance. This dynamic adaptation optimizes transmission efficiency for each specific device while maintaining broad content delivery coverage.
2Quantity of substance
If file size is increased to provide more content, then content amount is improved, but storage capacity requirements worsen for resource-constrained devices
Solution Approach 1:
The system segments large content files into multiple smaller slices. For resource-constrained devices, it transmits only necessary fine-grained slices that fit within limited storage capacity, while still providing meaningful content quantity through cumulative slice delivery.
Solution Approach 2:
The system transmits partial content in the form of selective slices rather than complete files. It delivers just enough content to meet user needs within storage constraints, avoiding the harm of excessive storage requirements while maintaining useful content quantity.
3Speed
If content is pre-loaded to reduce transmission time, then transmission speed is improved, but bandwidth consumption worsens
Solution Approach 1:
The system performs preliminary assessment of user device capabilities and content requirements before transmission. It pre-determines appropriate slice granularity and selection, enabling efficient transmission without unnecessary bandwidth consumption while maintaining optimal transmission speed.
Solution Approach 2:
The system changes transmission parameters including slice size, content selection, and delivery timing based on device characteristics. This parameter optimization achieves fast transmission speeds while minimizing bandwidth consumption by avoiding transmission of unnecessary content.
Data Source
AI summary
A learning system for automatically transmitting files according to user capabilities is provided. The learning system may include non-transitory memory storing instructions executable to transmit a file to a user device, and a processor circuitry configured to execute the instructions to determine a home base location of a user from at least one of a database storing user information of the user and the user device of the user. The processor circuitry further configured to calculate a travel distance from the home base location of the user to a hub circuitry of the learning system, determine a type of the file and an amount of content of the file based on the travel distance, and transmit, to the user device, the file according to the type of the file and the amount of content of the file.