The Next Generation Internet of Things Architecture Towards Distributed
Intelligence: Reviews, Applications, and Research Challenges
Abstract
Increasing the implication of growing data generated by the Internet of
Things (IoT) brings the focus toward extracting knowledge from sensors’
raw data. In the current cloud computing architecture, all the IoT raw
data is transmitted to the cloud for processing, storage, and control
things. Nevertheless, the scenario of sending all raw data to the cloud
is inefficient as it wastes the bandwidth and increases the network
load. This problem can be solved by Providing IoT Gateway at the edge
layer with the required intelligence to gain the Knowledge from raw data
to decide to actuate or offload complicated tasks to the cloud. This
collaboration between cloud and edge called distributed intelligence.
This work highlights the distributed intelligence concept in IoT. It
presents a deep investigation of distributed intelligence between cloud
and edge layers under IoT architecture, with an emphasis on its vision,
applications, and research challenges. This work aims to bring the
attention of IoT specialists to distributed intelligence and its role to
deduce current IoT challenges such as availability, mobility, energy
efficiency, security, scalability, interoperability, and reliability.