Author:
Goswami Shikha,Goswami Rohit,Verma Govind
Abstract
In the Industry 5.0 paradigm, systems based on artificial intelligence are an important component of the Internet of Things. Industry 5.0 demonstrated the important link between intelligent systems and people in most applications through precision manufacturing automation and critical thinking. In addition, Industry 5.0 brings with it several valid tools that help organizations operate cheaply and change immediately without capital investment. In recent years, smart devices, wireless communication, and sensor nodes have advanced greatly, transforming Internet of Things (IoT) ecosystems. With IoT devices, users can receive information even in rural areas and generate unbounded reports. Also, as previously mentioned, they meticulously guide people with intelligent judgments through communication technology. Many connected devices collect significant amounts of detected raw data when they require pre-processing. Although, it hardly becomes valuable for IoT devices and sufficient resources require Edge computing. AI-based algorithms are essential tools for data inference in Edge computing. In addition, observed data collected by IoT applications is usually unstructured and needs further analysis, where AI-based models help extract relevant information. Furthermore, malicious files are possible when data are transferred from one device to another. Therefore, this chapter looks at Industry 5.0, IoT architecture, and AI-based IoT; we analyze the IoT network and its specifications; communication is possible thanks to technologies.
Reference52 articles.
1. Lee SK, Bae M, Kim H. Future of IoT networks: A survey. Applied Sciences. 2017;7:1072. DOI: 10.3390/app7101072
2. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. Internet of things: A survey on enabling technologies. Protocols, and Applications, Communication Surveys & Tutorials. 2015;17(4)
3. Altexsoft. IoT Architecture: the Pathway from Physical Signals to Business Decisions. 2020. Available from: https://www.altexsoft.com/blog/iot-architecture-layers-components/
4. Samie F, Bauer L, Henkel J. From cloud down to things: An overview of machine learning in the internet of things. IEEE Internet of Things Journal. 2019;6(3)
5. Chander GB, Kumaravelan G. Introduction to wireless sensor networks. Soft Computing in Wireless Sensor Networks. 2018;1