Abstract: Serialized data from broadcast services is provided to a broadcast server for transmitting to one or more client devices. The serialized data may correspond to shared data, private data, or control data. Data is scheduled for transmission based on weighted priorities including quality of service metrics. The transmission frame is arranged according to a frame protocol that includes provisions for a table of contents indexing system for the shared data. Packets of shared data are formatted based on criteria that is known by the particular broadcast service and corresponding application that is resident on the client device. The client device receives the table of contents at the transport layer, and notifies applications of data that will be available in the next frame. Applications submit prioritized requests to the transport layer, requesting data in the next frame. Data is retrieved by the transport layer, and deserialized by handlers for each application.

Abstract: The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the present invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In another instance of the present invention, a system utilizes learning and inference methods that are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to systems that bypass consideration of absolute signal strengths in location calculations. The present invention facilitates approximations for locating a device by providing a system that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

Abstract: The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In an instance of the invention, learning and inference methods are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to methods that bypass consideration of absolute signal strengths in location calculations. The invention facilitates approximations for locating a device by providing a method that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

Abstract: The present invention employs approximate device locations determined from changes in the sensed strength of radio signals at different locations. In one instance of the invention, the approximate device locations are based on inference procedures that are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In another instance of the invention, approximate device locations derived from learning and inference methods that are applied to rank vector of signal strength vectors are utilized. Moving to such rank orderings leads to methods that bypass consideration of absolute signal strengths in location calculations. The invention utilizes approximations for a device location that is based on a method that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

Abstract: Serialized data from broadcast services is provided to a broadcast server for transmitting to one or more client devices. The serialized data may correspond to shared data, private data, or control data. Data is scheduled for transmission based on weighted priorities including quality of service metrics. The transmission frame is arranged according to a frame protocol that includes provisions for a table of contents indexing system for the shared data. Packets of shared data are formatted based on criteria that is known by the particular broadcast service and corresponding application that is resident on the client device. The client device receives the table of contents at the transport layer, and notifies applications of data that will be available in the next frame. Applications submit prioritized requests to the transport layer, requesting data in the next frame. Data is retrieved by the transport layer, and deserialized by handlers for each application.