Innovative Applications of Machine Learning in collaboration with IoT: A Review
Snehal R. Kamble, Sumaiyya Z. Khan, Ambarish R. Bhuyar · Journal of Emerging Technologies and Innovative Research · 2021
Nowadays, huge amount of data is available in this world. Because of this, it has become very important to do analysis of this data to extract useful information from it. So, various algorithms are developed to extract useful information based on machine learning. Machine learning has emerged successful in various areas like computer vision, computer graphics, natural language processing, speech recognition, decision-making, and intelligent control. Internet of Things (IoT) is also an important area; there are lots of devices connected by IoT. IoT System produces huge amount of data therefore more and more IoT applications and services are emerging. Many researches now a days study how to utilize machine learning to solve networking problems, including routing, traffic engineering, resource allocation, and security. Recently, there has been a rising trend of employing machine learning to improve IoT applications and provide IoT services such as traffic engineering, network management, security, Internet traffic classification, and quality of service optimization. This review paper focuses on providing an overview of the applications of machine learning in the domain of IoT. We provide a comprehensive survey highlighting the recent progresses in machine learning techniques for IoT and describe various IoT applications. The application of machine learning for IoT enables users to obtain deep analytics and develop efficient intelligent IoT applications.