Apparatus for internetworked wireless integrated network sensors (WINS)
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H04L-012/26
H04L-012/801
H04L-029/08
G06F-015/173
G06K-019/04
H01Q-009/04
H01Q-001/22
G06K-019/07
H01Q-001/12
H04L-012/40
출원번호
US-0474864
(2014-09-02)
등록번호
US-9628365
(2017-04-18)
발명자
/ 주소
Gelvin, David C.
Girod, Lewis D.
Kaiser, William J.
Newberg, Fredric
Pottie, Gregory J.
Sipos, Anton I.
Vardhan, Sandeep
Merrill, William M.
출원인 / 주소
BENHOV GMBH, LLC
인용정보
피인용 횟수 :
0인용 특허 :
223
초록▼
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 appli
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.
대표청구항▼
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 colle
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; andif the classified data is not anomalous, communicating a message using a compact representation. 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. 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 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. 7. The apparatus of claim 6, 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. 8. The apparatus of claim 6, 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. 9. The apparatus of claim 8, wherein the processor is further configured to deliver the message that data is available. 10. The apparatus of claim 8, wherein the processor is further configured to communicate aggregated messages upon receipt of request from a user. 11. The apparatus of claim 8, wherein the memory comprises short term memory configured to store received data. 12. The apparatus of claim 11, wherein the memory comprises longer term memory configured to store classified data. 13. 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 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. 14. The system of claim 13, 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. 15. The system of claim 13, wherein the first communication node is further configured to deliver the message that data is available to the second communication node. 16. The system of claim 13, wherein the first communication node is further configured to communicate aggregated messages upon receipt of a request from the second communication node. 17. The system of claim 13, wherein the first communication node comprises a short term memory configured to store received data. 18. The system of claim 17, wherein the first communication node comprises longer term memory configured to store classified data.
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