Skyhook Wireless, Inc.

Siebel Systems, Inc.

Shyhook Wireless, Inc.

Edward James Morgan

Farshid Alizadeh-Shabdiz

Russel Kipp Jones

Michael George Shean

Nicolas Brachet

Kaveh Pahlavan

Christopher Steger

Andrei Dancus

Richard Sutton

George Polak

Andrew Broadstone

Kevin Laracey

Andrew C Payne

Krishna A Canekeratne

Brian C Barnes

Ishan Birchett

Farshid Alizadeh-Shadiz

In one embodiment, a technique is provided for propagating network address to attribute associations between network addresses. One or more profiles are obtained that maintain an association between a first network address and one or more attributes, the association produced from network address observations of the first network address by one or more source devices in communication with a network. A second network address is determined that is associated with the first network address based on a similarity criteria. The second network address initially lacks an association with the one or more attributes. The one or more attributes are propagated from the first network address to the second address, to form an association between the second network address and the one or more attributes. The association between the second network address and the one or more attributes is then stored in an updated profile.

Propagating attributes between network addresses

In one embodiment, a processing technique is provided that utilizes multiple network address observations. One or more records are obtained that maintain network address observations, each network address observation associating one or more attributes with a network address observed by one or more source devices. Multiple network addresses from the network address observations are clustered into one or more discrete groups of network addresses based on a clustering criteria. For a selected group of network addresses, an association is formed associating one or more refined attributes derived from the selected group with an individual network address that is a member of the selected group.

Processing multiple network address observations

In one embodiment, a processing technique is provided for determining a refined attribute of a network address based on one or more other attributes. A network address associated with a source device in communication with a network is observed. One or more first attributes of the network address are determined, where the one or more first attributes indicate at least a spatial or temporal property of the network address. The one or more first attributes are processed to determine a second attribute to be associated with the network address, where the second attribute indicates whether the network address is a fixed or mobile network address, or is a proxy or non-proxy network address. A record is stored that maintains the association between the second attribute and the network address.

Determining fixed/mobile and proxy/non-proxy network addresses

In one embodiment, a mapping/translation technique is provided for generating an association between an observed network address and one or more attributes that are not directly observed. A network address is observed that is associated with a source device. A first attribute is determined, the first attribute being a directly observed attribute. The first attribute is mapped to a second attribute based on at least a predefined spatial, temporal, or identity-related correspondence between the first attribute and the second attribute, wherein the second attribute was not directly observed in connection with the network address. An association is generated between the second attribute and the network address. A record that maintains the association between the second attribute and the network address is stored.

Mapping/translation techniques for generating associations between network addresses and attributes that were not directly observed

In one embodiment, a filtering technique is provided for ensuring data quality of network address observations. A network address observation is obtained of a network address associated with a source device, the network address observation associating the network address with one or more directly observed attributes. The network address observation is filtered based on a comparison of a selected one of the one or more directly observed attributes to a predetermined criteria, and using a result of the comparison as indicative of whether the network address observation should be used for association of the network address with one or more directly observed attributes. The filtering either associates one or more indicators with the network address observation, or removes the network address observation. A network address to attribute association system executed on one or more electronic devices stores a record that maintains any network address observation that has not been removed and any indicator.

Ensuring data quality by filtering network address observations

In one embodiment, techniques are provided for estimating demographic information. A current device demographic profile for a mobile device is retrieved. An estimated geographic location of the mobile device and a time at which the mobile device visited the estimated geographic location is determined. Based on this, a location demographic profile for a geographic area that includes the estimated geographic location and for a time frame that includes the determined time is retrieved. The current device demographic profile for the mobile device is updated based on the location demographic profile. Further, the location demographic profile is updated based on a plurality of device demographic profiles of a plurality of mobile devices that visit geographic locations within the geographic area, the plurality of mobile devices including the mobile device.

Techniques for estimating demographic information

In one embodiment, a technique is provided for estimating and using an expected error of a position estimate of a WLAN-enabled mobile device produced by a WLAN positioning system. The WLAN-enabled mobile device receives signals transmitted by a plurality of WLAN access points in range of the WLAN-enabled device. The position of the WLAN-enabled device is estimated based on the received signals from the WLAN access points in range of the WLAN-enabled device. An expected error of the position estimate is based on at least one of a spatial spread associated with geographic positions of the WLAN access points, signal coverage areas of the WLAN access points, or a number of the WLAN access points. The expected error is used in providing one or more location-based services to a user of the WLAN-enabled mobile device.

System and method for estimating positioning error within a WLAN-based positioning system

In one embodiment, techniques are provided for setting a quality attribute of a WiFi access point that is suspected to have moved. The WiFi access point is identified when within range of a mobile WiFi-enabled device based on received signals received by a Wi-Fi radio of a mobile WiFi-enabled device. A recorded location associated with the identified WiFi access point is received from a local copy of a reference database or a remote store of the reference database on a server system. A location estimate is determined for the mobile WiFi-enabled device and compared to the recorded location associated with the identified WiFi access point to evaluate whether the identified WiFi access point has moved from its recorded location. Feedback is then generated that is sent to the server system in response to determining that the identified WiFi access point has moved, where the feedback is usable to set the quality attribute.

Techniques for setting quality attributes of access points in a positioning system

In one embodiment, characteristics of signals of a plurality of Wi-Fi access points within a target area are determined at least in part from observing the signals during a traversal of a programmatic route through the target area by a scanning device. A location is calculated for each of the plurality of Wi-Fi access points based on the characteristics of the signals of the Wi-Fi access point, and stored in records of a reference database. A request from an application or service executing on a mobile device is received for a current location of the mobile device. Positioning software obtains characteristics of signals of one or more Wi-Fi access points observed by the mobile device from the current location. The positioning software computes the current location of the mobile device using at least the characteristics of signals observed by the mobile device and the location of Wi-Fi access points stored in the reference database, and provides the computed current location to the application or service.

Techniques for computing location of a mobile device using calculated locations of Wi-Fi access points from a reference database

In one embodiment, scanning data is received for wireless access points whose wireless signals were observed by the one or more scanning devices in a target area. For each group of scanning data that shares a common identifier of a Wi-Fi access point, a centroid of the scanning data is determined, a set of scanning data of the group that exceeds a threshold distance from the centroid is designated as having potential error, and a location of the Wi-Fi access point is calculated. The calculated location of the Wi-Fi access point for each group of scanning data is stored in a reference database. Upon receiving a request for a location of a mobile device, an identity of one or more Wi-Fi access points in range of the mobile device is determined, and the location of the mobile device is computed using calculated locations from the reference database.

Techniques for computing location of a mobile device based on observed Wi-Fi access points

In one embodiment, a technique is provided for estimating and using an expected error of a position estimate of a wireless local area network (WLAN)-enabled mobile device. The WLAN-enabled mobile device received signals transmitted by a plurality of WLAN access points that are in range. A position of the WLAN-enabled mobile device is estimated based on the signals from one or more of the plurality of WLAN access points. An expected error of the position estimate is estimated based on a combination of correlated parameters, such as a spatial spread of geographic positions of the one or more WLAN access points, the signal coverage areas of the one or more WLAN access points, and a number of the one or more WLAN access points. Based on the expected error, the position estimate may be weighted or excluded from use in deriving a position, speed, or direction of travel.

Methods and systems of continuously optimizing data in WiFi positioning systems. A location-based services system uses WiFi-enabled devices to monitor WiFi access points in a target area to indicate whether a WiFi access point has moved relative to its previously recorded location. A WiFi-enabled device communicates with WiFi access points within range of the WiFi-enabled device so that observed WiFi access points identify themselves; A reference database is accessed to obtain information specifying a recorded location for each observed WiFi access point in the target area. The recorded location information is used for each of the observed WiFi access points in conjunction with predefined rules to infer whether an observed WiFi access point has moved relative to its recorded location. The reference database is informed of the identity of any observed WiFi access point that is inferred to have moved.

Continuous data optimization of moved access points in positioning systems

In one embodiment, characteristics of signals received from Wi-Fi access points during a traversal of a number of drivable streets within a geographic area having a radius of one or more miles are determined, the characteristics of a given signal including a unique identifier of a Wi-Fi access point that transmitted the signal, a location where the signal was observed, and an observed signal strength at the location where the signal was observed. Using the characteristics, a reference database is built including records descriptive of Wi-Fi access points in the geographic area. To determine a current location of a mobile device, an observed signal strength of one or more Wi-Fi access points observed by the mobile device from the current location is determined and a current location of the mobile device is computed using at least the observed signal strength of the one or more Wi-Fi access points observed by the mobile device in comparison to information in the reference database.

Disclosed are techniques for privacy preserving mobile demographic measurement of individuals, groups, and locations over time and space. A method of estimating demographic information associated with a user of a mobile device and/or a location while preserving the privacy of the user based at least in part on a location estimate of the mobile device of the user includes receiving an estimated geographical location of the mobile device of the user and receiving a time at which the mobile device was at the estimated geographical location. The method includes assigning substitute identifiers for the geographical location and the time at which the mobile device was at the estimated geographical location. The method includes associating the geographical areas substitute identifiers with demographic information and estimating demographic information associated with the user of the mobile device based on the substitute identifiers and based on the demographic information associated with substitute identifiers.

Method of and systems for privacy preserving mobile demographic measurement of individuals, groups and locations over time and space

Methods and systems of continuously optimizing data in WiFi positioning systems. A location-based services system uses WiFi-enabled devices to monitor WiFi access points in a target area to indicate whether a WiFi access point is newly-observed. A WiFi-enabled device communicates with WiFi access points within range of the WiFi-enabled device so that observed WiFi access points identify themselves. A reference database is accessed to obtain information specifying a recorded location for each observed WiFi access point in the target area. Observed WiFi access points for which the reference database has no information specifying a corresponding recorded location are identified. The recorded location information for each of the observed WiFi access points is used to calculate the position of the WiFi-enabled device. The reference database is informed of the WiFi access points (for which there was no information in the database) and is provided the calculated position in conjunction therewith.

Growing community of inventors

Needham, MA, United States of America

Edward James Morgan