Wireless Sensing and Networking for the Internet of Things

Edited by
May 2023
398 pages
  • ISBN978-3-0365-7448-6 (Hardback)
  • ISBN978-3-0365-7449-3 (PDF)

This book is a reprint of the Special Issue Wireless Sensing and Networking for the Internet of Things that was published in

Chemistry & Materials Science
Environmental & Earth Sciences

In recent years, we have been witnessing the exponential proliferation of the Internet of Things (IoT), networks of physical devices, vehicles, appliances and other items embedded with electronics, software, sensors, actuators and connectivity that enables these objects to connect and exchange data. Enabling the introduction of highly efficient IoT, wireless sensing and network technologies will reduce the need for traditional processes that are currently be carried out manually, thus freeing up the precious resources of dwindling working staff, to do more meaningful and human-centered work.

This reprint aims to bring together innovative developments in areas related to IoT, wireless sensing and networking. The aspects covered include software-defined network (SDN)-based IoT networks, artificial intelligence (AI) for IoT, industrial IoT, smart sensors, optimization of energy efficiency for IoT, and wireless sensor networks, IoT applications for agriculture, smart cities, healthcare, localization and environment monitoring.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
lawful interception; hybrid SDN; intercept access point; minimum vertex cover; text detection; natural scene; feature fusion; soil water content; sensor networks; distributed sensing; IoT measurements; Precision Agriculture; moisture sensor; wireless communication; LoRa; LoRaWAN™; indoor localisation; fingerprinting; landmark; wearable device; inertial measurement device; motion mode detection; body shadowing compensation; nearest neighbour; label-free biosensor; machine learning; support vector machine; artificial neural network; principal component analysis; Green IoT; IIoT; edge computing; AI; edge AI; sustainability; digital transition; digital circular economy; Industry 5.0; direction-of-arrival estimation; geometric algebra; ESPRIT algorithm; electromagnetic vector-sensor array; hardware security; electromagnetic sensing; machine learning; real time; cybersecurity; anomaly detection; the Internet of Things; machine learning; deep learning; blockchain; 5G/6G; URLLC; tactile Internet; industrial IoT; network emulator; robotic simulator; virtual testbed; wireless power transfer; energy harvesting; power conversion efficiency; single diode rectifier; voltage doubler; harmonic balance method; autonomous sensor node; wireless sensor network; multi-tone signal; full-wave simulations of PCB; millimeter wave; new radio; unmanned aerial vehicles; LoS blockage; closed-from approximation; rooftop deployments; coverage path planning; unmanned aerial vehicle; cell decomposition; decomposition methods; energy-aware approaches; energy optimal path; multi-robot systems; multi-UAV; smart cities; Internet of Things (IoT); sensors; 6G; wireless communications; resilience; sustainability; climate change; connectivity; data; wireless systems; mobile sensors; D2D; technological development; Internet of things; LoRaWAN; reliability; downlink; safety; IoT; IoT; LPWAN; proximal soil sensor device; conventional communication methods; ultralow power consumption; long-distance transmission; economic value; inventoried sensor devices; digital twin; AI; deep learning; LSTM model; n/a