Crowdsourcing Performance Indicators for Adaptive Mobile Data Collection
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Solution Overview
Problem
Existing technologies fail to effectively address the need to evaluate and enhance the performance of crowdsourced data collection, particularly in the context of radio signal-based positioning systems, lacking comprehensive evaluation criteria for resource consumption and data quality, leading to inefficiencies and suboptimal data collection strategies.
Innovation Solution
Implement a method and apparatus on mobile devices to gather and evaluate performance indicators for crowdsourced data collection, enabling improved data quality and resource management through adaptive data collection rules and control parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If crowdsourcing data collection is implemented without performance evaluation, then data collection can proceed simply, but data quality and resource consumption cannot be optimized
Solution Approach 1:
The patent implements performance evaluation by collecting feedback data from crowdsourcing clients including trigger conditions, collection frequency, resource consumption, and data quality metrics. This feedback mechanism enables continuous optimization of data collection strategies without requiring complex evaluation infrastructure, resolving the contradiction between data quality and system complexity.
Solution Approach 2:
The system enables crowdsourcing clients to self-evaluate their performance by automatically collecting and analyzing their own operational data. Clients monitor their own trigger conditions, data collection patterns, and resource consumption, eliminating the need for external complex evaluation systems while maintaining high data quality standards.
2Measurement precision
If data collection frequency is increased to improve data quality, then measurement precision improves, but energy consumption and resource usage increase
Solution Approach 1:
The patent dynamically adjusts data collection frequency based on real-time performance evaluation. The system monitors triggers, collection patterns, and data quality metrics to adaptively determine optimal collection intervals. This dynamic adjustment ensures high data quality when needed while reducing energy consumption during periods when lower frequency is sufficient.
Solution Approach 2:
The system changes operational parameters such as collection frequency, trigger conditions, and monitoring intensity based on evaluated performance. By adjusting these parameters dynamically, the system optimizes the balance between data quality and energy consumption, collecting data frequently enough to maintain precision but not so frequently as to waste resources.
3Productivity
If performance evaluation metrics are collected to optimize crowdsourcing, then data collection efficiency improves, but device complexity and overhead increase
Solution Approach 1:
The patent implements performance evaluation using existing multi-functional components already present in crowdsourcing clients. The same processors, sensors, and communication interfaces used for data collection also serve evaluation purposes, eliminating the need for separate dedicated evaluation hardware and reducing overall system complexity while improving productivity.
Solution Approach 2:
The system merges performance evaluation functions with the existing data collection framework. Evaluation metrics are collected and processed alongside primary data, combining multiple functions into unified processing streams. This integration approach improves data collection efficiency without adding proportional complexity, as evaluation and data collection share infrastructure and processing resources.
Data Source
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AI summary
Inter-alia, a method is disclosed comprising: gathering one or more pieces of crowdsourcing information indicative of one or more positions at which the at least one mobile device is located during the gathering; collecting one or more performance indicators indicative of measurable information associated with the gathering of the one or more pieces of crowdsourcing information, wherein the one or more performance indicators enable an evaluation of the gathering of the one or more pieces of crowdsourcing information; and providing the collected one or more performance indicators. It is further disclosed an according apparatus, computer program and system.