Verizon Patent and Licensing Inc.

Alan Lobo

Arindam Mitra

Kyle Matthew Hedden

Michelle Felt

Sankar Shanmugam

Petri Virkkula

Sudhin Vellooparambil Latheef

Thiru Voonna

Kedar Kotkunde

Parthiv C Patel

A system described herein may identify proximity events using geofencing capabilities of user equipment ('UE') such as mobile phones. The UE may interact with a mobile client manager ('MCM') to identify landmarks (or &#x201c;locations of interest&#x201d;) near the UE. The UE may identify a set of local landmarks that are nearest to the UE. The UE may utilize geofence-based location services to reduce power consumption when outside geofences associated with local landmarks. If the UE enters a geofence associated with a local landmark, the UE may utilize granular location services for increased accuracy. The UE may notify the MCM when the UE &#x201c;dwells&#x201d; near a given landmark by entering the geofence associated with the landmark but does not approach a threshold distance of the landmark. The UE may cease utilizing granular location services when dwelling, and may instead use location services based on push messages received from the MCM.

Systems and method for intelligently detecting proximity to locations of interest

A mobile device, such as a smart phone, receives program instructions, such as program instructions to evaluate components and/or software in the mobile device. The mobile device detects a local network and determines whether an attribute of the local network matches a desired attribute, such as a service set identifier (SSID) identified in the program instructions. When the attribute of the local network matches the desired attribute, the mobile device executes the program instructions. If the attribute of the local network does not match the desired attribute, the mobile device continues to look for a matching local network before executing the program instructions.

Proximity-based verification of programming instructions

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Bridgewater, NJ, United States of America

Alan Lobo