Abstract: A computing device includes at least one processor and a memory, the memory storing computer-executable instructions for causing the device to be configured to load a subset of geo-fences from secondary storage to primary storage for tracking by the computing device, the subset of geo-fences selected from a set of available geo-fences stored in the secondary storage, based on a selection criteria. The computing device further creates a boundary geo-fence with a radius corresponding to a distance between a current location of the computing device and an edge of a geo-fence in the subset of geo-fences that is furthest from the current location of the computing device. Upon detecting a geo-fence event associated with a new location of the computing device in relation to the boundary geo-fence, a new subset of geo-fences is re-loaded, and a new boundary geo-fence is created based on the new location of the computing device.

Abstract: A computing device includes at least one processor and a memory, the memory storing computer-executable instructions for causing the device to be configured to load a subset of geo-fences from secondary storage to primary storage for tracking by the computing device, the subset of geo-fences selected from a set of available geo-fences stored in the secondary storage, based on a selection criteria. The computing device further creates a boundary geo-fence with a radius corresponding to a distance between a current location of the computing device and an edge of a geo-fence in the subset of geo-fences that is furthest from the current location of the computing device. Upon detecting a geo-fence event associated with a new location of the computing device in relation to the boundary geo-fence, a new subset of geo-fences is re-loaded, and a new boundary geo-fence is created based on the new location of the computing device.

Abstract: Systems and methods disclosed herein may include tracking one or more geo-fences using a GNSS hardware processor within a computing device. The tracking may use at least one GNSS signal. State changes of the one or more geo-fences during the tracking may be saved in a shared state database. The shared state database may be shared between the GNSS hardware processor and an application processor within the computing device. Upon detecting a deterioration of the at least one GNSS signal, tracking the one or more geo-fences may be switched from using the GNSS hardware processor to using the application processor. After the switching, an initial state of each of the one or more geo-fences may be set by using states currently stored in the shared state database prior to the switching.

Abstract: Techniques and tools for reducing power consumption of computing devices (e.g., mobile devices such as mobile phones and tablet computers) that perform position tracking operations are described. In described examples, a low-power processor calculates (e.g., in real time) position information (e.g., GPS position fixes) based on information received from a positioning system (e.g., GPS) and stores the position information for later use in a buffer associated with the low-power processor (e.g., in storage on the low-power processor). Described examples allow position information to be calculated in real time and stored while the device is in a low-power state, and can be used with location-based applications that do not require position information to be delivered to the application in real time.

Abstract: Systems and methods disclosed herein may include tracking one or more geo-fences using a GNSS hardware processor within a computing device. The tracking may use at least one GNSS signal. State changes of the one or more geo-fences during the tracking may be saved in a shared state database. The shared state database may be shared between the GNSS hardware processor and an application processor within the computing device. Upon detecting a deterioration of the at least one GNSS signal, tracking the one or more geo-fences may be switched from using the GNSS hardware processor to using the application processor. After the switching, an initial state of each of the one or more geo-fences may be set by using states currently stored in the shared state database prior to the switching.

Abstract: Techniques and tools for reducing power consumption of computing devices (e.g., mobile devices such as mobile phones and tablet computers) that perform position tracking operations are described. In described examples, a low-power processor calculates (e.g., in real time) position information (e.g., GPS position fixes) based on information received from a positioning system (e.g., GPS) and stores the position information for later use in a buffer associated with the low-power processor (e.g., in storage on the low-power processor). Described examples allow position information to be calculated in real time and stored while the device is in a low-power state, and can be used with location-based applications that do not require position information to be delivered to the application in real time.