Chapter 4 - AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols

Abstract

With the growing technology of hardware components like sensors, actuators, networking devices, and networks media with efficient software for data gathering and analysis, the Internet of Things (IoT) became more effective in real-world applications like healthcare, item tracking in supply chain, military, and prediction of seismic activity in volcanoes. Artificial intelligence (AI) is a branch of engineering based on mathematical techniques, which has potential to enhance many real-world application domains like healthcare, industrial automation, service sector, and so on. Machine learning (ML) is a form of thin AI, and is used to help or automate decision-making. The process of automated decision-making and making predictions is based on gathered data. This data gathering may be performed through IoT. The AI and IoT are clearly intersecting each other as AI simulates intelligent behavior through different kind of machines whereas IoT interconnects these machines and help in collecting data. This chapter will discuss state-of-the-art methods, standards, protocols, and applications of IoT and making smart IoT with AI. The chapter also discusses AI approaches to make Intelligent IoT.