Reprint

Internet of Things and Sensors Networks in 5G Wireless Communications

Edited by
January 2020
222 pages
  • ISBN978-3-03928-148-0 (Paperback)
  • ISBN978-3-03928-149-7 (PDF)

This book is a reprint of the Special Issue Internet of Things and Sensors Networks in 5G Wireless Communications that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

Format
  • Paperback
License
© 2020 by the authors; CC BY licence
Keywords
narrowband; IoT; PHY; NB-IoT; MAC; deployment; survey; mMTC; 5G; grant-free; scheduling; URLLC; ultra-reliable and low-latency communications; 5G; deterministic; time-critical; reliability; latency; aperiodic traffic; Industry 4.0; 5G; mMTC; IoT; CSMA; SINR; throughput; polynomial interpolation; 5G; liquid detection; radio propagation; dielectric constant; WCI; congestion; estimation; irregular repetition slotted ALOHA; medium access control; random access; successive interference cancellation; 5G; internet of things; mMTC; eMBB; stochastic geometry; resource allocation; Internet of Things; Industry 4.0; Internet of Things; Industrial Internet of Things; Cyber Physical System; cloud computing; fog computing; edge computing; smart devices; smart factory; industrial automation; M2M; heterogeneous networks; non-orthogonal multiple access; energy efficiency; MU association; power control; D2D communication; 5G; sensor network; sensor; end-to-end delay; USRP; distributed mechanism; Raspberry Pi