Adaptive Positioning Strategy for Mobile Terminals
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Solution Overview
Problem
Existing passive positioning technologies consume excessive power and network traffic due to frequent collection and reporting of position information, leading to poor user experience and potential overheating of terminal devices.
Innovation Solution
A method and system where a client terminal receives a collection strategy from a server, adjusts its position information collection based on user behavior and habits, and sends the collected data for analysis, allowing for optimized collection times, intervals, and precision, with the server updating the strategy to increase frequency during active periods and reduce it during inactive periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position information is collected and reported frequently to ensure accurate location data, then positioning precision is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of collection frequency based on user state. The system transitions from static frequent collection to dynamic adaptive collection, where the collection interval is adjusted in real-time according to whether the user is active or inactive, thereby resolving the contradiction between positioning precision and power consumption
Solution Approach 2:
The system changes the parameter of collection frequency based on user state. When the user is active, collection frequency increases to maintain precision; when inactive, frequency decreases to save power. This parameter adaptation resolves the contradiction by making collection intensity contingent on actual positioning needs
2Reliability
If position information is collected and reported frequently to satisfy service requirements, then service quality is improved, but network traffic consumption increases
Solution Approach 1:
The system implements periodic collection with variable intervals rather than continuous frequent collection. By introducing idle periods during user inactivity and increasing frequency during active periods, the system maintains service quality when needed while reducing overall network traffic consumption
Solution Approach 2:
The system applies partial action by collecting position information only when necessary (during active periods) rather than continuously. This selective collection maintains service quality for active users while avoiding excessive network traffic during inactive periods
3Speed
If position information is collected continuously to ensure real-time location accuracy, then positioning timeliness is improved, but terminal heat generation increases
Solution Approach 1:
The system dynamically adjusts collection intensity based on user activity state. During active periods, collection is frequent to maintain timeliness; during inactive periods, collection is reduced to allow terminal cooling, thus resolving the contradiction between positioning timeliness and heat generation
Data Source
AI summary
A client terminal receives a collection strategy from a server, collects position information according to the received collection strategy, and sends the collected position information to the server. After receiving and storing the collected position information, the server performs an analysis of the collected position information according to a preset rule to form configuration data of the collection strategy, updates the collection strategy according to the configuration data formed by the analysis, and sends the updated collection strategy to the client terminal. The client terminal receives the updated collection strategy sent by the server, and collects the position information according to the updated strategy.