Adaptive Data Routing for Remote Access
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Solution Overview
Problem
Users face challenges in accessing data from remote locations due to the unavailability of standard high-speed connections and the difficulty in determining the best data access method, especially in a mobile society where various data connections and their characteristics are not readily known.
Innovation Solution
A system and method that analyze available data connections at a remote location, considering factors like connection speed, cost, security, and data type, to automatically select the best method for data transfer, using software installed on microprocessor-based devices to identify, evaluate, and prioritize connections for efficient data routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If standard high-speed connections are used for data access, then data transfer rate is improved, but availability deteriorates at remote locations
Solution Approach 1:
The system dynamically adapts the data transfer method based on the current environment. It automatically detects available connections (WiFi, cellular, satellite) and switches between them according to data priority, connection quality, and cost considerations, making the system flexible rather than static
Solution Approach 2:
The system changes multiple parameters simultaneously including transfer method (WiFi/cellular/satellite), data compression level, image quality settings, and transfer timing to optimize performance for available connections. For example, it may use high-quality direct transfer via WiFi when available, or compressed lower-quality transfer via cellular when remote
2Adaptability or versatility
If multiple data connection options are provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs automatic self-assessment of available connections and self-selection of the optimal transfer method without user intervention. The software automatically detects WiFi, cellular, or satellite availability and chooses the appropriate protocol, eliminating the need for users to manually configure complex connection settings
Solution Approach 2:
The system implements a universal data transfer framework that can operate across multiple connection types (WiFi, cellular, satellite) and devices (smartphones, tablets, laptops, wearables) through a single unified software solution, rather than requiring separate solutions for each connection type
3Ease of operation
If automatic connection selection is implemented, then ease of operation is improved, but loss of time in analysis increases
Solution Approach 1:
The system performs preliminary analysis of available connections and data characteristics before transfer begins. It pre-assesses WiFi signal strength, cellular network conditions, satellite availability, and data priorities to pre-determine the optimal transfer method, so the actual transfer can start immediately without delays
Solution Approach 2:
The system continuously monitors connection quality during data transfer and provides feedback to adjust transfer parameters in real-time. If WiFi connection degrades, it automatically switches to cellular or satellite, ensuring continuous optimal performance without user intervention or noticeable delays
Data Source
AI summary
The present invention relates to a system and method for intelligent computer-implemented transmittal of data, the system determining and using the best available method of transmission for the data In determining the best available transmission method, the system considers at least one of available transmission methods at a particular site, transmission cost, data type, and data security.