Abstract

The Internet of Things (IoT) is rapidly merging sensor and actuator technology, embedded systems, wireless communication, and data analytics. Massive volumes of data are being generated by sensors in IoT systems across a wide range of businesses. If IoT can be used to analyse data to improve decision-making, productivity, accuracy, and income, businesses and life-enhancement paradigms can profit from IoT. We need a new paradigm for obtaining knowledge from IoT data to improve quality of life. Smarter IoT requires deep learning since these services are the cornerstone for IoT applications. Deep learning IoT data analytics research is vital in this setting. Here, we discuss deep learning architectures, their relevance in IoT data analytics, and prospective use cases. There is a discussion of current research issues and potential future research initiatives.