PriMera Scientific Engineering (ISSN: 2834-2550)

Research Article

Volume 2 Issue 5

The use of Machine Learning in the Internet of Things

Ennabirha Wafaa*, Aboudou Abderraoouf and Moutabir Ahmed

April 26, 2023

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Abstract

In the IoT and WSN period, large number of connected objects and seeing bias are devoted to collect, transfer, and induce a huge quantum of data for a wide variety of fields and operations. To effectively run these complex networks of connected objects, there are several challenges like topology changes, link failures, memory constraints, interoperability, network traffic, content, scalability, network operation, security, and sequestration to name a many. therefore, to overcome these challenges and exploiting them to support this technological outbreak would be one of the most pivotal tasks of ultramodern world. In the recent times, the development of Artificial Intelligence (AI) led to the emergence of Machine Learning (ML) which has come the crucial enabler to figure out results and literacy models in an attempt to enhance the QoS parameters of IoT and WSNs. By learning from once gests, ML ways aim to resolve issues in the WSN and IoT’s fields by erecting algorithmic models. In this paper, we're going to punctuate the most abecedarian generalities of ML orders and Algorithms. We start by furnishing a thorough overview of the WSN and IoT’s technologies. We also bandy the vital part of ML ways in driving up the elaboration of these technologies. also, as the crucial donation of this paper, a new taxonomy of ML algorithms is handed. We also epitomize the major operations and exploration challenges that abused ML ways in the WSN and IoT. ultimately, we dissect the critical issues and list some unborn exploration directions. 

Keywords: Wireless Sensor Network; Internet of Things; Machine learning categories; Machine Learning Algorithms

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