Big Data Analytics for Internet of Things

5Deep Learning Architectures for IoT Data Analytics

Snowber Mushtaq¹ and Omkar Singh²

¹ Department of Computer Science and Engineering, Islamic University of Science and Technology, Jammu and Kashmir, India

² Department of Electronics and Communication Engineering, National Institute of Technology, Srinagar, India

5.1 Introduction

Internet of Things (IoT) has evolved as a modern research area because of the increased connected devices. This allows multiple devices to connect over a network without human intervention. It has evolved due to the merging of multiple technologies that has been deployed in various fields of day‐to‐day life, including smart home, elderly care to provide support to elder and physically challenged people, and also toward the commercial applications. IoT is a concept that allows objects to communicate with each other, operate in co‐ordination with additional things to create novel applicability, and attain mutual targets [1]. Every connected device must be considered a thing, in terms of IoT. Things can be any physical sensors, actuators, and an embedded system with a microprocessor. Data collected from sensors deployed in IoT can be used to understand, monitor, and control complex environments around us, promoting greater intellect, more forward decision‐making, and more reliable performance [2]. Entities communicate with each other, known as a device‐to‐device communication. Individual communication can either be short‐range or long‐range. Short‐range ...