Distributed intelligence model for Internet of things applications
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Date
2021-05
Authors
Rababah, Baha
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Abstract
Increasing the implication of Internet of Things (IoT) data puts a focus on extracting
the knowledge from sensors' raw data. The management of sensors' data is ine cient
with current solutions, as studies have generally focused on either providing cloudbased
IoT solutions or ine cient prede ned rules. Providing IoT gateways with
relevant intelligence is essential for gaining knowledge from raw data to make the
decision of whether to actuate or o oad tasks to the cloud. This work proposes
a model that provides an IoT gateway with the intelligence needed to extract the
knowledge from sensors' data in order to make the decision locally without needing
to send all raw data to the cloud over the Internet. When the gateway is unable to
process a task locally, the data and task are o oaded to the cloud.
Description
Keywords
Internet of Things, Distributed Intelligence, IoT Gateway, Machine Learning, and Neural Networks