Geofence Information Delivery with Anchor-Point IP Mapping
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Solution Overview
Problem
Existing geofencing technologies often fail to accurately define and manage geofences based on the intent and context of content accessibility, leading to devices receiving unwanted content or missing intended content due to centroid-based inaccuracies, and lack efficient methods for querying databases of geofences associated with multiple geographic designators and IP addresses.
Innovation Solution
The system and method associate each geofence with a plurality of geographic designators linked to IP addresses, particularly IPv6 addresses, enabling precise geofence definition, registration, and lookup, using non-centroid geofences and anchor points for accurate geofence identification and delivery of geofence information through a geofence delivery network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If centroid-based geofencing is used, then the system is simple to implement, but the geofence accuracy and precision deteriorate
Solution Approach 1:
The geofence is divided into multiple boundary segments (straight lines and/or curves) connecting multiple anchor points instead of using a single centroid. This segmentation allows precise definition of irregular geographic areas while maintaining system implementability through standardized boundary representations.
Solution Approach 2:
The geofence definition transitions from two-dimensional centroid coordinates to multi-dimensional boundary representations involving multiple anchor points with their associated geographic designators and IP addresses, enabling precise area definition while preserving system simplicity.
2Measurement precision
If multiple geographic designators and IP addresses are associated with each geofence, then the geofence identification accuracy improves, but the database complexity increases
Solution Approach 1:
The geofence database structure is designed to universally handle multiple geographic designators (latitude, longitude, elevation, etc.) and multiple IP addresses associated with each geofence. This multi-functional database can store and query various types of geographic and network information simultaneously, improving identification accuracy while managing complexity through standardized data structures.
Solution Approach 2:
Anchor points serve as intermediaries between the geofence boundary and the associated geographic designators and IP addresses. Each anchor point contains multiple designators and IP address associations, organizing the complex data relationships in a manageable way that improves query accuracy without proportionally increasing overall system complexity.
3Manufacturing precision
If non-centroid geofences with multiple anchor points are used, then the geofence boundary precision improves, but the querying process becomes more complex
Solution Approach 1:
The geofence boundaries are pre-defined and stored in the database with all associated anchor points, geographic designators, and IP addresses before querying occurs. This preliminary preparation of boundary data structures enables efficient querying without requiring complex real-time calculations, thus improving boundary precision while managing querying complexity.
Solution Approach 2:
The complex geometric boundary checking process is replaced by IP address-based lookups and geographic designator matching. Instead of performing complex mechanical geometric calculations during querying, the system uses database-based IP address associations and coordinate matching, simplifying the querying process while maintaining high boundary precision.
4Measurement precision
If geofence information is delivered based on device location, then the content delivery accuracy improves, but the risk of unwanted content delivery increases
Solution Approach 1:
The system uses feedback from multiple geographic designators and IP address associations to verify device location within geofence boundaries before delivering content. This multi-factor feedback mechanism ensures accurate content delivery while preventing unwanted content by cross-checking multiple location parameters and IP address associations against the defined geofence boundaries.
Data Source
AI summary
The present invention is directed to methods and systems for querying a database of geofences, with each geofence in the database being associated with a plurality of IP addresses, preferably IPv6 addresses, and each IP address corresponding to a specific geographic coordinate. The method and system convert location coordinates to IP addresses and determine whether a location anchor point is associated with a geofence.