FEEDBACK BASED ACCESS AND CONTROL OF FEDERATED SENSORS
A method and system is provided for managing or controlling a network of federated devices. In one example, the devices in the network capture data corresponding to an object or entity of interest. The captured data is sent to a server component such as a hub or backend processor which further processes the data. Based on the received data, the hub or backend processor generates commands or instructions for the network or devices in the network. The commands/instructions are sent to the network to modify network behavior or to controlling device behavior.
1 . A system for controlling a federated network, the system comprising:
a collection unit for receiving data from the federated network;
an attention model unit for identifying an entity of interest based on the data received from the federated network;
a feedback unit for controlling the network based on the identified entity of interest.
2 . The system of claim 1 wherein the data received by the collection unit includes at least one of audio data, temperature data, pressure data, vibration data, environmental data, and image data.
3 . The system of claim 2 wherein the data includes a plurality of image data corresponding to the entity of interest, the attention model further stitching together the plurality of image data to generate a synthetic image of the entity of interest.
4 . The system of claim 1 wherein the feedback unit transmits instructions to the network based on the identified entity of interest, the instructions performing one of directing devices in the federated network to orient toward the entity of interest, activating at least one of the devices in the federated network, deactivating at least one of the devices in the federated network, modifying the length of a sleep cycle of at least one device in the federated network, and modifying a sampling frequency of at least one device in the federated network.
5 . The system of claim 1 wherein the feedback unit generates instructions for controlling or informing networking behavior in the network.
6 . The system of claim 5 wherein the feedback unit further transmits a point of interest to the network for modifying routing of data within the network.
7 . The system of claim 6 wherein the feedback unit further transmits a priority command to the network for assigning priority to devices in the network.
8 . The system of claim 6 wherein the feedback unit further transmits a coalescing command to the network for instructing at least one device in the network to orient toward the entity of interest.
9 . The system of claim 6 wherein the modified routing of data within the network is based on the assigned priority of devices in the network.
10 . The system of claim 1 wherein the attention modeling unit further receives location information associated with the devices in the network.
11 . The system of claim 10 wherein the attention modeling unit determines a location of the entity of interest.
12 . The system of claim 11 wherein the feedback unit transmits an instruction to the network based on the location information associated with the devices in the network and the location of the entity of interest.
13 . The system of claim 12 wherein the instruction is for modifying a device located within a predetermined distance of the location of the entity of interest.
14 . The system of claim 13 wherein the modification of the device includes one of directing the device toward the entity of interest, activating the device, deactivating the device, modifying a sleep cycle of the device, and modifying a sampling frequency of the device.
15 . A method of automatically controlling activity in a network, the method comprising:
receiving data from devices in the network, the data corresponding to an entity of interest;
generating a feedback control message based on the received data, the feedback control message for controlling the network.
16 . The method of claim 15 further comprising identifying a location of the entity of interest based on the data received from devices in the network.
17 . The method of claim 16 wherein the feedback control message modifies a device within a predetermined distance of the entity of interest.
18 . The method of claim 17 wherein the modification of the device includes one of positioning the device toward the entity of interest, activating the device, deactivating the device, modifying a sleep cycle of the device, and modifying a sampling frequency of the device.
19 . The method of claim 15 wherein the receiving and generating are performed iteratively such that the sensory activity of the network follows movement of the entity of interest within an area covered by the network.
20 . The method of claim 15 wherein the data received from the devices comprises a plurality of image data corresponding to at least a portion of the entity of interest, the method further comprising stitching the image data in the plurality of image data together to generate a synthetic image.