Multidimensional Survey of Machine Learning Application in IoT (Internet of Things)
Anurag Kumar Sinha, Pooja Jha · Human Communication & Technology · 2021
Rapid growth in computer and Information Technologies depends upon the inter-net based devices that making it possible to connect with the every single impossible thing in this physical world so efficiently. In the last decades IoT gained very much popularity across the world, The Rise of the sensory based devices are being utilized in the modern way of living, transportation and industry. With the increase of this IoT based devices, now a day's its rapidly approaching the technologies in private and business sector. With the rise of internet based devices the main focus of its security and data are increasing. In today's Era the technology and this sensory device are being implemented in various sectors to make a city a smart City. The basic goal of proposing this book chapter is to amalgamate those multidisciplinary application areas of IoT in the nutshell of machine learning algorithm. The basic aim of proposing this chapter is also to analyze the different usability of machine learning in iot. Applications of IoT with machine learning can be the different factors of a city such as in Healthcare system, logistics, transportation and Agriculture. We have done the survey by accumulating the data of different papers related to the same domain in which our focus is to extract the best machine learning algorithms that has been implemented in internet of things. This chapter is also intended to make people aware about the IoT Technologies that can be achievable that people will use these technologies in their day to day life.