Predictive Authentication for In-Vehicle Communication Devices
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Solution Overview
Problem
Existing communication systems between mobile terminals, particularly in-vehicle communication devices, face challenges in reducing the time required for authentication and data transfer when devices are outside the cellular network coverage.
Innovation Solution
An information processing device and method that predict when a first device and a first terminal will be close enough to communicate using a specific communication scheme, and instruct them to execute an advance preparation process, such as authentication key caching, before they are within the communication range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If devices wait until they are within communication range to execute authentication and data transfer processes, then communication reliability is ensured, but the time required for these processes increases
Solution Approach 1:
The system predicts when devices will be within communication range and executes authentication and data transfer processes in advance while devices are still outside the short-range communication area. This preliminary action reduces the time required for these processes when devices actually come into range, while maintaining communication reliability through advance preparation of communication parameters and authentication credentials.
2Speed
If devices execute communication processes immediately when within range, then response speed improves, but the period required for process execution increases when devices are outside range
Solution Approach 1:
The information processing device predicts future proximity of devices and executes communication processes in advance during the prediction period. This allows the system to maintain high response speed when devices are within range while reducing the overall execution period by performing preparations beforehand during times when devices are outside the immediate communication area.
Solution Approach 2:
The system dynamically adjusts the timing of communication processes based on predicted movement patterns of devices. By using movement information and prediction algorithms, the system optimizes when to execute processes to balance response speed and total execution time, adapting to changing spatial relationships between devices.
3Productivity
If devices perform advance preparation processes before communication, then communication efficiency improves, but device complexity increases
Solution Approach 1:
The system introduces an information processing device that acts as an intermediary to manage prediction and coordination of communication processes. This mediator handles the complexity of predicting device proximity and scheduling advance preparations, while the actual communicating devices can focus on their primary functions, thus improving communication efficiency without significantly increasing the complexity of end devices.
Solution Approach 2:
Devices transmit their own movement information and the system uses this self-provided data for prediction purposes. This self-service approach reduces the need for complex tracking infrastructure while enabling advance preparation of communication processes, improving efficiency without requiring additional complex device components.
Data Source
AI summary
An information processing device includes a processor configured to: acquire a pair of a first device and a first terminal predicted to move closer to the first device at a distance shorter than a first distance at which communication is possible using a first communication scheme; and transmit, to at least either of the first device and the first terminal, an instruction to execute a second process that is an advance preparation process for a first process to be executed by the communication using the first communication scheme when the first device and the first terminal are closer to each other at the distance shorter than the first distance.