Server-Based Communication Area Control for Power-Saving Terminals
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Solution Overview
Problem
Existing communication environment prediction systems inaccurately determine network communication quality based on GPS signal intensity, leading to unnecessary power consumption due to potential communication failures.
Innovation Solution
A control method for an information processing system that utilizes a server to set specific communication areas by acquiring location and communication information from terminals, determining communication conditions, and adjusting terminal communication based on these areas to optimize power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication environment prediction is performed based on GPS signal intensity, then communication quality can be estimated, but power consumption increases due to erroneous determination of good network environment
Solution Approach 1:
The system establishes a feedback mechanism where communication results (success/failure) are fed back to the server. The server uses this feedback to learn and update communication environment predictions, making predictions more accurate over time without increasing terminal device power consumption for prediction operations.
Solution Approach 2:
The server acts as an intermediary that performs the complex communication environment prediction and learning operations. Instead of having terminal devices perform power-consuming prediction operations, the server handles the computationally intensive tasks of analyzing communication results and generating predictions, reducing power consumption at the terminal level.
2Loss of information
If communication attempts are made in areas with poor network quality, then location data can be transmitted, but power is wasted due to communication failures
Solution Approach 1:
The system performs preliminary actions by predicting communication environment quality before actual communication attempts. The server provides advance predictions about communication feasibility in specific areas, allowing terminal devices to make informed decisions about whether to attempt transmission, thereby avoiding wasteful power consumption in poor communication areas.
Solution Approach 2:
The communication strategy dynamically adapts based on predicted environment quality. The system adjusts communication behavior in real-time by comparing predicted communication quality against thresholds, enabling terminal devices to dynamically switch between attempting communication and conserving power based on current environmental conditions.
Data Source
AI summary
A control method for an information processing system including a first terminal acquiring first location information, a second terminal acquiring second location information, and a server setting, according to communication with the first terminal, as a specific area, an incommunicable area where communication with the second terminal is not performed or a communicable area where communication with the second terminal is performed.


