Mobile Internet Connection Optimization via Trajectory and Network Data
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Solution Overview
Problem
Establishing a reliable and cost-efficient mobile internet connection while traveling is challenging due to varying network qualities and opaque billing structures, making it difficult for users and service providers to optimize and manage internet services effectively.
Innovation Solution
A device and server system that processes position, network, and trajectory data to optimize internet connections by selecting the best communication networks and service providers, while also providing detailed usage and billing information to users, using a combination of machine learning and data processing to adjust connections in real-time and manage billing transparently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple communication networks and service providers are used to ensure reliable internet connection while traveling, then connection reliability is improved, but device complexity and difficulty of managing connections increase
Solution Approach 1:
The system automatically monitors network quality parameters, evaluates available connections, and switches between networks and service providers without user intervention. The processor continuously receives position data, network data, and trajectory data, then autonomously optimizes connections based on predefined criteria, eliminating the need for manual connection management while maintaining high reliability
Solution Approach 2:
The system implements continuous feedback loops by monitoring network quality metrics, connection performance, and position data in real-time. Based on this feedback, the system dynamically adjusts connection parameters and switches networks to maintain optimal performance, resolving the contradiction between reliability and management complexity
2Reliability
If detailed monitoring and data processing are implemented to optimize connections, then connection optimization is improved, but use of energy and computational resources increase
Solution Approach 1:
The system processes only the most critical data parameters (position, network quality, trajectory) at high frequency, while other data is processed at lower frequencies or aggregated. This partial processing approach maintains connection optimization effectiveness while reducing overall computational load and energy consumption
Solution Approach 2:
The system pre-processes and caches network data, position data, and trajectory information during periods of low activity, then uses this pre-prepared data during connection decisions. This reduces real-time processing requirements and energy consumption during critical optimization moments
3Loss of information
If transparent billing information is provided to users, then user satisfaction is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The existing data processing system performs multiple functions: it monitors network quality for connection optimization, tracks position and trajectory data, and simultaneously generates billing information. By making the system multi-functional, billing transparency is achieved without adding separate complex infrastructure
Solution Approach 2:
The system combines connection monitoring functions with billing information generation into a unified data processing pipeline. The same processors that analyze network quality and position data also compile usage statistics for billing, merging multiple functions into integrated operations that reduce overall system complexity
Data Source
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AI summary
A device adapted to provide an optimized internet connection while moving along a trajectory, comprising a computer-readable storage medium having computer-readable program code comprising executable operations embodied therewith, the device comprising a processor, preferably a microprocessor, coupled to the computer-readable storage medium, and wherein responsive to executing the computer-readable program code, the processor is configured to perform the executable operations comprising receiving data about a position concerning the device, providing position data, and receiving data about a quality of at least one communication network for connecting the device to Internet, providing network data, and receiving data about the trajectory, including a destination, providing trajectory data, and processing the position data, the network data, and the trajectory data, into a connection function, and optimizing the connection function, and based on an optimized connection function, providing the optimized internet connection.