Proximate Device Identification Using Property-Based Matching Rules
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Solution Overview
Problem
Existing methods for identifying proximate devices often result in erroneous identifications due to similar sensory identifiers being detected, especially when multiple devices produce similar identifiers simultaneously, leading to inefficiencies and incorrect matches.
Innovation Solution
A method that involves each device sending a request message with a representation of its sensory identifier and properties to a matching unit, which applies predefined or dynamically adjusted matching rules based on device properties to limit possible matches and reduce errors, using a server or matching unit to compare representations and send acknowledgments only when a valid match is confirmed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If sensory identifiers are used for device identification, then identification speed is improved, but identification accuracy deteriorates due to erroneous matches
Solution Approach 1:
The identification process is segmented into multiple stages: initial sensory identifier detection for quick filtering, followed by property-based matching rules for accurate verification. This segmentation allows the system to maintain high speed in the initial detection phase while ensuring accuracy through subsequent property verification stages.
Solution Approach 2:
Device properties serve as an intermediary layer between the sensory identifier and the final identification decision. The matching rules use these properties as mediators to verify and confirm matches, reducing erroneous identifications while maintaining the speed advantage of sensory-based initial detection.
2Measurement precision
If matching rules based on device properties are applied, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
Device properties and matching rules are pre-configured and stored in the system before actual identification operations. This preliminary setup allows the matching unit to quickly retrieve and apply predefined rules during operation, improving accuracy without adding significant operational complexity.
Solution Approach 2:
The matching unit automatically applies the matching rules based on device properties without requiring manual intervention. The system self-manages the complex matching process by autonomously comparing sensory identifiers against predefined property-based rules, maintaining accuracy while minimizing operational complexity.
3Adaptability or versatility
If multiple devices detect similar sensory identifiers simultaneously, then identification coverage is improved, but error rate increases
Solution Approach 1:
The matching unit implements feedback mechanisms where detected sensory identifiers are continuously compared against device properties and matching rules. When multiple devices detect similar identifiers, the system uses feedback from property comparisons to distinguish true matches from false positives, maintaining high coverage while reducing error rates through iterative verification.
Data Source
AI summary
A method of identifying proximate client devices (1, 2) comprises the steps of:providing a sensory identifier,the first device (1) detecting the sensory identifier and sending a first request message (RQ1) comprising a first representation of the sensory identifier to a matching unit which is preferably part of a correlation server (5),the second device (2) detecting the sensory identifier and sending a second request message (RQ2) comprising a second representation of the sensory identifier to the matching unit, andthe matching unit comparing the first representation and the second representation and sending an acknowledgement message (AC1, AC2) to each of the first device (1) and the second device (2) if a match is made.Each request message (RQ1, RQ2) contains a pointer to at least one property of the respective device (1, 2). In addition, the matching unit applies matching rules relating to the properties to limit the number of possible matches.