Intelligent Sensing and Communications for Internet of Everything

Intelligent Sensing and Communications for Internet of Everything explores the potential of terahertz 6G network spectrum in IoT,backscatter communication,IRS,UAV technology,and big data,AI technology,and fog/edge computing technology.

Format: Paperback / softback
Length: 356 pages
Publication date: 20 January 2022
Publisher: Elsevier Science & Technology

Intelligent Sensing and Communications for Internet of Everything presents three compelling application scenarios: enhanced mobile broadband (eMBB), large-scale machine connection (mMTC), and ultra-reliable low latency communication (URLLC). Within this realm, a novel communication model emerges, encompassing backscatter communication (BackCom), intelligent reflector surfaces (IRS), and unmanned aerial vehicle (UAV) technology. Furthermore, the book delves into the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Additionally, it explores the diverse applications of IoT networks in the realms of big data, artificial intelligence (AI) technology, and fog/edge computing technology.

Enhanced mobile broadband (eMBB) is a key application scenario, aimed at delivering high-speed data connectivity to mobile devices. This includes technologies such as 5G networks, which offer faster download and upload speeds, lower latency, and increased capacity. eMBB enables a wide range of applications, including streaming video, virtual and augmented reality, and Internet of Things (IoT) devices.

Large-scale machine connection (mMTC) is another application scenario that focuses on connecting a vast number of devices, such as sensors, robots, and industrial equipment. mMTC requires low-power, long-range communication technologies that can support large device populations and provide reliable data transmission. This includes technologies such as Bluetooth Low Energy (BLE), Zigbee, and Thread.

Ultra-reliable low latency communication (URLLC) is a critical application scenario that demands extremely low latency and high reliability for real-time applications. URLLC applications include autonomous vehicles, remote surgery, and industrial control systems. This requires communication technologies that can guarantee sub-millisecond latency and high packet delivery rates.

Backscatter communication (BackCom) is a novel communication model that utilizes backscattering techniques to transmit data in IoT environments. Backscattering involves reflecting radio waves off of objects or surfaces, which can enhance signal strength and reduce interference. BackCom is particularly useful in scenarios where traditional communication methods are challenging, such as indoor environments or outdoor environments with dense vegetation.

Intelligent reflector surfaces (IRS) are another key technology in IoT communication. IRS are surfaces that can reflect radio waves to enhance signal strength and improve communication coverage. IRS can be used in a variety of applications, such as smart buildings, smart cities, and industrial environments.

Unmanned aerial vehicle (UAV) technology is also being used in IoT communication. UAVs can be equipped with sensors and communication technologies to collect data and transmit it over long distances. UAVs are particularly useful in remote areas or areas where traditional communication methods are difficult to deploy.

Terahertz 6G network spectrum is a promising technology for IoT communication. Terahertz (THz) spectrum has a wide bandwidth, which allows for high data transmission rates and low latency. Terahertz spectrum is also highly resistant to interference, which makes it ideal for IoT applications that require reliable and secure communication.

IoT networks have a wide range of applications in the realm of big data. Big data refers to the large volumes of data generated by IoT devices and other sources. IoT networks can be used to collect, store, and analyze this data, which can provide valuable insights and help organizations make informed decisions.

For example, IoT networks can be used to monitor the performance of industrial equipment, which can help identify potential issues before they become serious problems. IoT networks can also be used to optimize energy consumption in buildings, which can reduce energy costs and improve sustainability.

IoT networks have a wide range of applications in the realm of artificial intelligence (AI). AI is a rapidly evolving field that uses machine learning and other advanced technologies to analyze and interpret data. IoT networks can be used to enable AI algorithms to make predictions and decisions based on data from IoT devices.

For example, IoT networks can be used to monitor the health of patients and predict when they may need medical attention. IoT networks can also be used to optimize traffic flow in cities, which can reduce congestion and improve safety.

IoT networks have a wide range of applications in the realm of fog/edge computing technology. Fog/edge computing refers to the distribution of computing and storage resources closer to the edge of the network, such as at the edge of a city or in a remote area. IoT networks can be used to enable fog/edge computing by providing a reliable and low-latency connection to the cloud.

For example, IoT networks can be used to enable fog/edge computing for autonomous vehicles, which can reduce the need for cloud computing resources and improve the performance of the vehicle. IoT networks can also be used to enable fog/edge computing for smart buildings, which can reduce the need for centralized computing resources and improve the energy efficiency of the building.

In conclusion, Intelligent Sensing and Communications for Internet of Everything presents three compelling application scenarios: enhanced mobile broadband (eMBB), large-scale machine connection (mMTC), and ultra-reliable low latency communication (URLLC). Within this realm, a novel communication model emerges, encompassing backscatter communication (BackCom), intelligent reflector surfaces (IRS), and unmanned aerial vehicle (UAV) technology. Furthermore, the book delves into the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Additionally, it explores the diverse applications of IoT networks in the realms of big data, artificial intelligence (AI) technology, and fog/edge computing technology.

Weight: 740g
Dimension: 234 x 190 x 22 (mm)
ISBN-13: 9780323856553