Data Management for IoT and Digital Twin

Data Management for IoT and Digital Twin

Galiveeti Poornima, Vinay Janardhanachari, Deepak S. Sakkari
DOI: 10.4018/978-1-6684-5722-1.ch002
(Individual Chapters)
No Current Special Offers


The internet of things (IoT) is a dynamic and global network infrastructure in which “things”—subsystems and individual physical and virtual entities—can be identified, autonomous, and self-configurable. “Things” are expected to communicate with one another and with the environment by exchanging data generated by sensing, as well as react to events and trigger actions to control the physical world. A digital twin is a synchronised virtual representation of real-world entities and processes. Understanding the data management challenges for DT is critical to understanding the data issues. Data management is a common issue in existing systems, ranging from product design to asset management and maintenance.
Chapter Preview

2. Overview Of Iot

Information and communication technology (ICT) has complete power over our everyday routines and habits. It becomes an important part of our life-critical infrastructure, enabling the connectivity of various heterogeneous devices in various ways. Personal computers, sensing, surveillance, smart homes, entertainment, transportation, and video streaming are just a few examples. It's no secret that the Internet is a constantly evolving organism. As wireless communication trends accelerate, so does innovation in Internet connectivity and mobile broadband. Devices that communicate without relying on physical infrastructure are becoming more common, more intelligent, more powerful, more interconnected, smaller, cheaper, and easier to deploy and set up. There is a new future direction for ICT in society: the Internet of Things (IoT) (IoT). The Internet of Things (IoT), formerly known as Machine-to-Machine (M2M) connectivity, is now a hot topic in the telecommunications industry and academia. The IoT paradigm, its concepts, principles, and prospective benefits are examined in this research. Focused on the primary IoT technologies, developing protocols and wide-spread use cases.

A. Key Technologies

Sensors: These are the sorts of devices that can generate electronic signals based on certain physical conditions or happenings. IoT devices feature built-in sensors to see, hear, and touch the world, converting physical data to digital. Images, temperature, motion, proximity, pressure, and so on can all be measured by sensors.

Networks: IoT devices are, in essence, networked ones. Electronic signals can be transmitted over any number of wireless connections, including WiFi, cellular, Bluetooth, near field communication (NFC), and satellite, among others.

Standards: These are the prohibitions or prescriptions for the process framework that are generally recognized and acknowledged. Devices in the Internet of Things (IoT) adhere to common technological and legal standards, ensuring network security, data protection, and other benefits.

Augmented Intelligence: A database can be described, predicted, and exploited using these cognitive techniques. Computer vision, natural language processing, speech recognition and other technologies can be used to analyze massive data in a meaningful way.

Augmented Behavior: This is the process of acting that was prescribed. Augmented behavior shows up in the form of machine-to-machine (M2M) interface and machine-to-human interface (M2H).

Complete Chapter List

Search this Book: