APPARATUS FOR INTERNETWORKED WIRELESS INTEGRATED NETWORK SENSORS (WINS)

• US 20150046582A1
• Filed: 09/02/2014
• Published: 02/12/2015
• Est. Priority Date: 10/06/1999
• Status: Active Grant

• Current Assignee: Intellectual Ventures I LLC (Intellectual Ventures LLC)
• Original Assignee: Borgia/Cummins LLC (Intellectual Ventures LLC)
• Inventors: Gelvin, David C., Girod, Lewis D., Kaiser, William J., Newberg, Fredric, Pottie, Gregory J., Sipos, Anton I., Vardhan, Sandeep, Merrill, William M.
• Granted Patent: US 9,628,365 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 15/173 using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
• CPC Class Codes: G06K 19/04 characterised by the shape
• CPC Class Codes: G06K 19/0717 the sensor being capable of sensing environmental conditions such as temperature history or pressure
• CPC Class Codes: H01Q 1/125 Means for positioning
• CPC Class Codes: H01Q 1/22 by structural association with other equipment or articles
• CPC Class Codes: H01Q 9/0407 Substantially flat resonant element parallel to ground plane, e.g. patch antenna dipole H01Q9/285; monopole H01Q9/40
• CPC Class Codes: H01Q 9/0414 in a stacked or folded configuration
• CPC Class Codes: H01Q 9/0464 Annular ring patch
• CPC Class Codes: H04L 2012/40273 the transportation system being a vehicle
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 67/1051 Group master selection mechanisms
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: Y04S 40/00 Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
• CPC Class Codes: Y04S 40/18 Network protocols supporting networked applications, e.g. including control of end-device applications over a network

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.

Claims

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;

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; and

determining, using the processor, if the classified data is anomalous.

2. The method of claim 1, wherein the collected data is discarded if the energy of the data signal is below the first threshold.

3. The method of claim 1, wherein the collected data is stored for an interval to allow response from neighboring nodes if the energy of the data signal is below the second threshold.

4. The method of claim 1, further comprising determining if congestion is present in the network, and if so, aggregating a message to other messages that data is available to be sent once congestion on the network ends.

5. The method of claim 4, further comprising delivering the message that data is available.

6. The method of claim 1, further comprising, if the classified data is analogous, storing the classification data in a long term storage to allow for adaptation of a classification.

7. The method of claim 1, further comprising, if the classified data is not analogous, communicating a message indicating that the data is anomalous.

8. An apparatus comprising:

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;

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; and

determine if the classified data is anomalous.

9. The apparatus of claim 8, wherein the collected data is stored for an interval to allow response from neighboring nodes if the energy of the data signal is below the second threshold.

10. The apparatus of claim 8, wherein the processor is further configured to determine if congestion is present in the network, and if so, to aggregate a message to other messages that data is available to be sent once congestion on the network ends.

11. The apparatus of claim 10, wherein the processor is further configured to deliver the message that data is available.

12. The apparatus of claim 10, wherein the processor is further configured to communicate aggregated messages upon receipt of request from a user.

13. The apparatus of claim 10, wherein the memory comprises short term memory configured to store received data.

14. The apparatus of claim 13, wherein the memory comprises longer term memory configured to store classified data.

15. A system comprising:

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;

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; and

determine if the classified data is anomalous.

16. The system of claim 15, wherein the first communication node is further configured to determine if congestion is present in the network, and if so, to aggregate a message to other messages that data is available to be sent once congestion on the network ends.

17. The system of claim 15, wherein the first communication node is further configured to deliver the message that data is available to the second communication node.

18. The system of claim 15, wherein the first communication node is further configured to communicate aggregated messages upon receipt of a request from the second communication node.

19. The system of claim 15, wherein the first communication node comprises a short term memory configured to store received data.

20. The system of claim 19, wherein the first communication node comprises longer term memory configured to store classified data.