Node Network Device Location Tracking via Radio Signal Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional sensor-based systems lack efficient techniques for deep analysis and privacy protection, requiring vast amounts of tagged data and failing to provide optimal user benefits, especially in ensuring privacy in sensor data processing.
Innovation Solution
The system employs methods for device location services and privacy enhancement using derived data disclosure, which involves determining user device location and preferences without requiring extensive data tagging, by processing sensor data to generate pseudonyms and predicates that can be shared selectively with third parties, ensuring user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor-based systems are used for location tracking, then device location can be determined, but user privacy is compromised due to extensive data collection and tagging requirements
Solution Approach 1:
The system extracts only the essential identifying information (device identifiers and clock information) from radio communications needed for location tracking, while leaving out unnecessary personal data. This extraction approach enables location determination without collecting extensive user information, thus maintaining privacy while achieving tracking functionality.
Solution Approach 2:
The patent introduces an intermediary processing layer that handles radio communications and extracts location-relevant data without exposing raw personal information. This intermediary mechanism processes communications between nodes and user devices, deriving location data while preserving user privacy through controlled information disclosure.
2Loss of information
If vast amounts of tagged data are collected for deep analysis, then better user insights can be obtained, but system complexity and data processing requirements increase significantly
Solution Approach 1:
The system extracts only the necessary identifying features (device identifiers and clock information) from radio communications for analysis. This selective extraction provides sufficient user insights for location tracking and service personalization without requiring vast amounts of tagged data, thereby reducing processing complexity while maintaining analytical quality.
3Measurement precision
If nodes pair with user devices for tracking, then more accurate location data can be obtained, but the pairing process increases operational complexity and user burden
Solution Approach 1:
The system enables nodes to autonomously extract identifying information (device identifiers and clock information) from radio communications without requiring manual pairing operations. User devices automatically provide this information through their normal communication protocols, eliminating the need for users to perform pairing actions while maintaining accurate location tracking capability.
Data Source
AI summary
An apparatus in an illustrative embodiment comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to determine in a first node of a node network identifying information sufficient for tracking a user device that generates radio communications detectable by at least the first node, to replicate at least a portion of the identifying information from the first node to one or more additional nodes of the node network, and to track the user device utilizing the identifying information in the first node and the one or more additional nodes. Tracking the user device utilizing the identifying information in the first node and the one or more additional nodes illustratively comprises performing the tracking without requiring each of the first and additional nodes to pair with the user device. Other illustrative embodiments include methods and computer program products.