Abstract
The Internet of Things (IoT) has revolutionized innovation to collect and store the information received from physical objects or sensors. The smart devices are linked to a repository that stores intelligent information executed by sensors on IoT-based smart objects. Now, the IoT is shifted from knowledge-based technologies to operational-based technologies. The IoT integrates sensors, smart devices, and a smart grid of implementations to deliver smart strategies. Nowadays, the IoT has been pondered to be an essential technology. The transmission of information to or from the cloud has recently been found to cause many network problems to include latency, power usage, security, privacy, etc. The distributed intelligence enables IoT to help the correct communication available at the correct time and correct place. Distributed Intelligence could strengthen the IoT in a variety of ways, including evaluating the integration of different big data or enhancing efficiency and distribution in huge IoT operations. While evaluating distributed intelligence in the IoT paradigm, the implementation of distributed intelligence services should take into consideration the transmission delay and bandwidth requirements of the network. In this article, the distributed intelligence at the Edge on IoT Networks, applications, opportunities, challenges and future scopes have been presented.
Highlights
Internet of Things (IoT) keeps growing through technological inventions including solutions, embedded software, network virtualization, distributed systems and intelligence
We introduce the related works with close look at the IoT, cloud computing, and edge computing, respectively
This paper has presented the role of distributed intelligence at the Edge on IoT architecture, with an emphasis on its importance, latest proposed paradigms, and applications that requires it
Summary
IoT keeps growing through technological inventions including solutions, embedded software, network virtualization, distributed systems and intelligence. The revolutionary change towards distributed cloud storage to edge computation has grown rapidly in the IoT. On the IoT, heterogeneous devices will collect the required information as input to use it in the network for many services. Most IoT applications consist of six elements Recognition or identification, Sensing, Communication, Computation, Services, and Semantics [7]. The End devices and gateway devices usually do not play any role in computation processes This paradigm is not effective because transferring a huge amount of data might cause many problems related to delay, security, privacy, power consumption, etc. Real-time and fast decisions are essential for IoT applications, so distributed intelligence between edge and cloud currently attracts researchers’ attention [10]. We represent the main current challenges of enabling Distributed Intelligence in IoT. The seventh section shows the discussion and in the last section we explained the conclusion and future works
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