11. A method comprising: receiving, by one or more processors of a computing system, a plurality of values of information, with respect to an inference model, associated with additional sensor data corresponding to a plurality of mobile devices; determining, by the one or more processors, based on relationship patterns between the plurality of mobile devices and based on the plurality of values of information, one or more combinations of mobile devices and sensing temporal frequencies that meet a plurality of constraints associated with receiving sensor data from the plurality of mobile devices; and requesting, by the one or more processors, sensor data from individual ones of the plurality of mobile devices at time intervals according to a selected one of the one or more combinations.
11. A method comprising: receiving, by one or more processors of a computing system, a plurality of values of information, with respect to an inference model, associated with additional sensor data corresponding to a plurality of mobile devices; determining, by the one or more processors, based on relationship patterns between the plurality of mobile devices and based on the plurality of values of information, one or more combinations of mobile devices and sensing temporal frequencies that meet a plurality of constraints associated with receiving sensor data from the plurality of mobile devices; and requesting, by the one or more processors, sensor data from individual ones of the plurality of mobile devices at time intervals according to a selected one of the one or more combinations. 15. The method of claim 11 , wherein the relationship patterns between the various mobile devices include one or more of shared working hour patterns, shared living location patterns, familial or business relationship patterns, and time zone patterns of users associated with the various mobile devices.