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Hybrid Wireless-Power Line Communications for Indoor IoT Networks

Hybrid Wireless-Power Line Communications for Indoor IoT Networks

By (author)s: Xu Zhu, Kainan Zhu, Mohammad Heggo
Copyright: 2020
Pages: 172
ISBN: 9781630818098
Coming Soon: Available 04/30/2020
List Price: $139.00

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This exciting resource covers the fundamentals of wireless and PLC technologies. Different types of wireless and PLC technologies used for indoor IoT applications are described. The channel models for both wireless and power line communications are introduced, highlighting the main challenges for these types of communications inside the indoor environment. The book explores the hybrid technologies with television white space (TVWS), very high frequency (VHF) wireless technology, and broadband PLC (BPLC) for indoor high speed IoT networks. A TVWS standardized BPLC system is proposed, which integrates the requirement of primary user sensing and the permissible transmission power spectral density (PSD) for TVWS users into BPLC standard, regarding VHF band access.

 

The hybrid ultra-high frequency (UHF) wireless-powerline sensor networks with a focus on enlarging the network lifetime via cross-layer optimization is presented. Hybrid video sensor networks (HVSNs) with high data rate requirement are explored. Through the joint design of video encoding rate, aggregate power consumption, channel access control, along with link rate allocation, a distributed algorithm is developed, which divides the computational burden among all nodes with much lower communication overhead. The effectiveness of the cross-layer designs are evaluated through extensive simulation results.

Fields and Waves; Lumped Elements; Transmission Lines; Network Parameters; Transformations and Identities; Impedance Matching; Waveguides; Launchers and Transitions; Quasi-Optical Components; Flat-Frequency Components; Frequency-Selective Components; Amplifiers; Frequency Conversion; Appendix.

  • Xu Zhu
  • Kainan Zhu

    received his Ph.D. in electrical and electronic engineering from the University of Liverpool and has authored many publications.

  • Mohammad Heggo

    is a research associate at the Computing Department, Imperial College of London, UK, where he shares in the development of new RF Machine Monitoring technology known as CogniSense. He was awarded a dual Ph.D. from the electrical engineering and electronics at the University of Liverpool.

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