Invention Grant
- Patent Title: Systems and methods for compressing sensor data using clustering and shape matching in edge nodes of distributed computing networks
-
Application No.: US17266752Application Date: 2019-08-05
-
Publication No.: US11431805B2Publication Date: 2022-08-30
- Inventor: Olaitan Philip Olaleye , Abhishek Murthy , Mathan Gopalsamy
- Applicant: SIGNIFY HOLDING B.V.
- Applicant Address: NL Eindhoven
- Assignee: SIGNIFY HOLDING B.V.
- Current Assignee: SIGNIFY HOLDING B.V.
- Current Assignee Address: NL Eindhoven
- Priority: EP18190898 20180827
- International Application: PCT/EP2019/071013 WO 20190805
- International Announcement: WO2020/030584 WO 20200213
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L67/125 ; H03M7/30 ; H04L41/16 ; H04L43/04
Abstract:
A system and method for compressing sensor data at an edge node of a distributed computing network. The method includes training the edge node to with a plurality of known signal templates. Each known signal template corresponding to a corresponding one of a plurality of events observable by the sensor. A raw data signal is collected by a sensor of the edge node. The raw data signal is classified to one of the known signal templates based on a degree of similarity between the raw data signal and the known signal template. A compression scheme is selected based on the classification of the raw data signal. The raw data signal is compressed in accordance with the compression scheme.
Public/Granted literature
Information query
