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Scalable data discovery in an internet of things (iot) system

Convida Wireless, LLC, Wilmington, DE (US) Appl. No.: 15/311,694 (2017) Scalable data discovery in an internet of things (iot) system US 2017/0094592 A1.

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Data discovery for sensor data in an M2M network uses probabilistic models, such as Gaussian Mixing Models (GMMs) to represent attributes of the sensor data. The parameters of the probabilistic models can be provided to a discovery server (DS) that respond to queries concerning the sensor data. Since the parameters are compressed compared to the attributes of the sensor data itself, this can simplify the distribution of discovery data. A hierarchical arrangement of discovery servers can also be used with multiple levels of discovery servers where higher level discovery servers using more generic probabilistic models.

Item Type: Patent
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Dong, L
Wang, C
Date : 30 March 2017
DOI : US 2017/0094592 A1
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 14 Mar 2018 10:21
Last Modified : 16 Jan 2019 19:08

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