Hybrid Wireless-Power Line Communications for Indoor IoT Networks

· ·
· Artech House
Ebook
240
Pages
Eligible

About this ebook

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.

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...

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About the author

Xu Zhu is a reader of the department of electrical engineering and electronics at the University of Liverpool. She received her Ph.D. from the Hong Kong University of Science and Technology. She is a Senior Member of the IEEE.

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.

Xu Zhu is a reader of the department of electrical engineering and electronics at the University of Liverpool. She received her Ph.D. from the Hong Kong University of Science and Technology. She is a Senior Member of the IEEE. Kainan Zhu received his Ph.D. in electrical and electronic engineering...

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