K-Nearest Neighbour Algorithm for Classification of IoT-Based Edge Computing Device

Abstract

The Internet of Things (IoT) is an advanced model intended to offer enormous applications that are presently a portion of our everyday existence. Under dynamic networks, millions of smart devices are installed to provide lively functionality, including connectivity, tracking, and control of vital infrastructures [1, 3]. However, due to the shortage of bandwidth and money, this enormous creation of IoT gadgets and the resulting big data traffic caused at the edge of the network imposed further loads on the advanced centralized cloud storage model. Edge computing (EC) is now evolving as a revolutionary approach that puts data conversion and depository close to ultimate consumers, contributing to what is known as EC-aided IoT. While this model offers new functionality and quality of service (QoS), it likewise raises tremendous dangers in the areas of data protection and confidentiality [2]. Presently, the IoT scenario has attained a great deal of popularity. It encompasses a software and hardware infrastructure that ties the corporeal world to the Internet.