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    Efficient mesh network data gathering
    3.
    发明授权
    Efficient mesh network data gathering 有权

    公开(公告)号：US10778556B2

    公开(公告)日：2020-09-15

    申请号：US15856994

    申请日：2017-12-28

    Applicant: Intel Corporation

    Inventor： Venkat Natarajan ,  Kumar Ranganathan ,  Jaroslaw J. Sydir ,  Apoorv Vyas

    IPC: G06F15/16 ,  H04L12/26 ,  H04L12/721 ,  H04L29/08 ,  H04L12/753 ,  H04L12/66 ,  H03M7/30

    Abstract: Systems and methods may be used to map and collect data from a mesh network at a gateway device connecting a plurality of devices (e.g., edge devices, IoT devices, sensors, or the like) to a network. A method may include determining a shortest path tree (SPT) map of the plurality of devices, the shortest path tree map may define the mesh network for the plurality of devices connected to the gateway. The method may include sampling data throughout the mesh network based on a compressive sensing (CS) sampling schedule. The sampled data may be output, such as to a remote device via the network. The sampled data may be saved at the gateway.

    EFFICIENT MESH NETWORK DATA GATHERING
    4.
    发明申请
    EFFICIENT MESH NETWORK DATA GATHERING 审中-公开

    公开(公告)号：US20190036801A1

    公开(公告)日：2019-01-31

    申请号：US15856994

    申请日：2017-12-28

    Applicant: Intel Corporation

    Inventor： Venkat Natarajan ,  Kumar Ranganathan ,  Jaroslaw J. Sydir ,  Apoorv Vyas

    IPC: H04L12/26 ,  H04L12/721 ,  H04L12/66 ,  H04L12/753 ,  H04L29/08

    Abstract: Systems and methods may be used to map and collect data from a mesh network at a gateway device connecting a plurality of devices (e.g., edge devices, IoT devices, sensors, or the like) to a network. A method may include determining a shortest path tree (SPT) map of the plurality of devices, the shortest path tree map may define the mesh network for the plurality of devices connected to the gateway. The method may include sampling data throughout the mesh network based on a compressive sensing (CS) sampling schedule. The sampled data may be output, such as to a remote device via the network. The sampled data may be saved at the gateway.

    SCHEDULING OF NETWORK RELAYS
    5.
    发明申请
    SCHEDULING OF NETWORK RELAYS 审中-公开

    公开(公告)号：US20190021100A1

    公开(公告)日：2019-01-17

    申请号：US15646504

    申请日：2017-07-11

    Applicant: INTEL CORPORATION

    Inventor： Venkataranan Natarajan ,  Apoorv Vyas ,  Jaroslaw J. Sydir ,  Kumar Ranganathan

    IPC: H04W72/12 ,  H04L12/24 ,  H04W52/02

    Abstract: Techniques disclosed for accurately predicting the occurrence of anomalous sensor readings within a sensor network and advantageously using these predictions to limit the amount of power used by relay nodes within the sensor network. Some examples analyze spatial and temporal characteristics of anomalous sensor readings to predict future occurrences. In these examples, the relay nodes operate in a reduced power mode for periods of time in which anomalous sensor readings are not predicted to occur. Also, in these examples, only relay nodes in a path between a sensor predicting an anomalous reading and a gateway of the sensor network operate in full power mode. This feature allows other relay nodes to remain in the reduced power mode even when an anomalous sensor reading is predicted elsewhere in the sensor network.

    Compressive sensing for power efficient data aggregation in a wireless sensor network
    8.
    发明授权
    Compressive sensing for power efficient data aggregation in a wireless sensor network 有权

    公开(公告)号：US10149131B2

    公开(公告)日：2018-12-04

    申请号：US15414171

    申请日：2017-01-24

    Applicant: INTEL CORPORATION

    Inventor： Venkat Natarajan ,  Apoorv Vyas ,  Kumar Ranganathan ,  Jose Joy ,  Harshpal Singh

    IPC: H04W4/70 ,  H04L29/08 ,  H04W52/02 ,  H03M7/30

    Abstract: Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.

    MOTION TRACKING USING ELECTRONIC DEVICES
    10.
    发明申请
    MOTION TRACKING USING ELECTRONIC DEVICES 审中-公开

    公开(公告)号：US20180125362A1

    公开(公告)日：2018-05-10

    申请号：US15553547

    申请日：2016-02-16

    Applicant: Intel Corporation

    Inventor： Jaskaran S. Grover ,  Venkat Natarajan ,  Kumar Ranganathan

    IPC: A61B5/00 ,  G16H20/30 ,  A61B5/11

    Abstract: In one example an input/output interface to receive motion tracking data from at least one remote motion sensing device and a controller coupled to the input/output interface and comprising logic, at least partially including hardware logic, to receive the motion tracking data, generate estimated position data using the motion tracking data; and present the estimated position data on a display device coupled to the electronic device. Other examples may be described.

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