Apparatus for internetworked wireless integrated network sensors (WINS)
First Claim
1. A method comprising:
- collecting data from a data signal at a node in a network and storing the collected data in a queue;
determining, using a processor, if energy of the data signal is above a first predetermined threshold;
performing, using the processor, a first level classification of the collected data if the energy is above the first predetermined threshold;
determining, using the processor, if the energy of the data signal is above a second predetermined threshold in response to determining the energy of the data signal is above the first predetermined threshold;
soliciting, using the processor, data from neighboring nodes and classifying data received in response to determining that the energy of the data signal is above the second predetermined threshold;
determining, using the processor, if the classified data is anomalous;
if the classified data is anomalous, storing the classification data in a long term storage and performing adaptation of classification of the classified data; and
if the classified data is not anomalous, communicating a message using a compact representation.
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Accused Products
Abstract
The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.
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Citations
18 Claims
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1. A method comprising:
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collecting data from a data signal at a node in a network and storing the collected data in a queue; determining, using a processor, if energy of the data signal is above a first predetermined threshold; performing, using the processor, a first level classification of the collected data if the energy is above the first predetermined threshold; determining, using the processor, if the energy of the data signal is above a second predetermined threshold in response to determining the energy of the data signal is above the first predetermined threshold; soliciting, using the processor, data from neighboring nodes and classifying data received in response to determining that the energy of the data signal is above the second predetermined threshold; determining, using the processor, if the classified data is anomalous; if the classified data is anomalous, storing the classification data in a long term storage and performing adaptation of classification of the classified data; and if the classified data is not anomalous, communicating a message using a compact representation. - View Dependent Claims (2, 3, 4, 5)
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6. An apparatus comprising:
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a communication interface configured to receive data from a data signal on a network; a memory configured to store the received data; a processor coupled to the communication interface and the memory and configured to determine if energy of the data signal is above a first predetermined threshold;
classify the received data if the energy is above the first predetermined threshold;
determine if the energy of the data signal is above a second predetermined threshold in response to determining the energy of the data signal is above the first predetermined threshold;
solicit data from neighboring nodes if the energy of the data signal is above the second predetermined threshold and classify data received from the neighboring nodes;
determine if the classified data is anomalous;
store the classification data in a long term storage and performing adaptation of classification of the classified data if the classified data is anomalous; and
communicate a message using a compact representation if the classified data is not anomalous. - View Dependent Claims (7, 8, 9, 10, 11, 12)
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13. A system comprising:
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a communication network; a first communication node coupled to the communication network; a second communication node coupled to the communication network; wherein the first communication node is configured to receive data from a data signal in the communication network, determine if energy of the data signal is above a first predetermined threshold;
classify the received data if the energy is above the first predetermined threshold;
determine if the energy of the data signal is above a second predetermined threshold in response to determining the energy of the data signal is above the first predetermined threshold;
solicit data from the second communication node if the energy from the data signal is above the second predetermined threshold and classify data received from the second communication node;
determine if the classified data is anomalous;
store the classification data in a long term storage and performing adaptation of classification of the classified data if the classified data is anomalous; and
communicate a message using a compact representation if the classified data is not anomalous. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification