LOCATION-BASED NETWORKING SYSTEM AND METHOD

• US 20080225779A1
• Filed: 10/08/2007
• Published: 09/18/2008
• Est. Priority Date: 10/09/2006
• Status: Abandoned Application

• Current Assignee: Team Awesome Productions, Inc. (Perigee Holdings, Inc.)
• Original Assignee: Team Awesome Productions, Inc. (Perigee Holdings, Inc.)
• Inventors: Stauffer, Sam, Davis, Wendell, Proios, Antonios, Bragiel, Paul, Podgorski, Wojtek
• Application Number:
  US11/868,955
• Publication Number:
  US 20080225779A1
• Time in Patent Office: Days
• US Class Current: 370/328
• CPC Class Codes: G01S 5/02521 using a radio-map
• CPC Class Codes: G01S 5/0284 Relative positioning
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A technique for creating a network model involves receiving location data associated with objects and using the location data to improve the size and/or accuracy of the network model. A technique for creating geo-tagged content involves providing a probable location associated with a client and geo-tagging content at that location.

Claims

1. A system comprising:

an interface for receiving first location data associated with a first object and second location data associated with a second object;

a database that includes locations;

a location calculation module, wherein, in operation, the processor executes the location calculation module to determine the distance or relative location with respect to the first object and the second object, said determining including;

predicting a first location associated with the first object by comparing the first location data to locations in the database;

predicting a second location associated with the second object by comparing the second location data to locations in the database;

comparing the first location and the second location;

an organic growth module, wherein, in operation, the processor executes the organic growth module to add new locations to the database when the first location data or the second location data identify the new locations.

2. The system of claim 1, wherein the first object is a wireless client.

3. The system of claim 1, wherein the first object is an access point associated with a wireless network.

4. The system of claim 1, wherein the first location data includes one or more data selected from the group consisting of:

wireless data, RSSI, client data, access point data, router data, IP data, internal network IP data, external network IP data.

5. The system of claim 4, wherein the second location data includes positional coordinates.

6. The system of claim 1, wherein the first location data is used to predict a first location prior to receipt of the second location data.

7. The system of claim 1, wherein the locations in the database include accurate locations and fuzzy locations, and wherein the organic growth module further improves the accuracy of a fuzzy location if the first location data or the second location data provide sufficient information to improve the accuracy of the fuzzy location, wherein if the accuracy of the fuzzy location is improved beyond an accuracy threshold, the fuzzy location is referred to as an accurate location.

8. A system comprising:

a wireless network database including information about a physical network, wherein the information facilitates creation of a known network model associated with the physical network;

a scouting module for identifying network-related data in the physical network;

a headquarters module, coupled to the wireless network database and the scouting module, for improving accuracy and expanse of the known network model using network-related data received from the scouting module.

9. The system of claim 8, wherein the network related data includes WiFi hotspot-, gateway-, internal network-, and router-related data.

10. The system of claim 8, wherein the scouting module:

collects known or convenient data that can be used to locate a user;

reports the data to the headquarters module for analysis.

11. The system of claim 8, wherein

the scouting module provides a user fingerprint to the headquarters module;

the headquarters module identifies a location of the user within the known network model and a corresponding probable location of the user within the physical network.

12. The system of claim 8, wherein the headquarters module uses extremely local location detection techniques and scalable location detection techniques.

13. The system of claim 8, wherein the headquarters module uses collected data associated with a first user to provide location-related information about the first user to a second user.

14. A method comprising

providing a probable location associated with a client;

receiving content from the client;

associating the probable location of the client with the content received from the client;

storing the content in association with the probable location of the client.

15. The method of claim 14, further comprising prompting the client for location-identifying data to improve accuracy of the probable location.

16. The method of claim 14, further comprising auto-tagging the content with the probable location of the client.

17. The method of claim 14, wherein the client is a first client and wherein the content stored in association with the probable location of the client is virtual graffiti, further comprising:

providing a probable location associated with a second client;

determining that the probable location associated with the second client is near a location on which virtual graffiti is written.

18. The method of claim 17, further comprising alerting the second client that virtual graffiti exists nearby.

19. The method of claim 17, further comprising receiving a reply from the second client expressing interest to view the virtual graffiti.

20. The method of claim 17, further comprising providing the virtual graffiti to the second client.