Hybrid Wireless-Power Line Communications for Indoor IoT Networks

Name: Hybrid Wireless-Power Line Communications for Indoor IoT Networks
Brand: Artech House
Price: 203.99 EUR
Availability: OnlineOnly

Xu Zhu Kainan Zhu Mohammad Heggo(Autor*in)

Artech House (Verlag)

1. Auflage

Erschienen am 30. April 2020

215 Seiten

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978-1-63081-810-4 (ISBN)

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Inhalt

Intro
Hybrid Wireless-Power Line Communication for Indoor IoT Networks
Contents
Preface
1 Introduction
1.1 Background
1.2 Book Organization
References
Part I: Fundamentals of Wireless and Power Line Communications
2 Overview of Wireless and Power Line Communications
2.1 Introduction
2.2 Overview of Wireless Communications
2.2.1 A Brief History of Wireless Communications
2.2.2 TVWS Regulations and Standards
2.3 Overview of Power Line Communications
2.3.1 A Brief Historical Evolution
2.3.2 PLC Regulations and Standards
2.4 TVWS Communications Interference to BPLC
2.5 Enhancing the BPLC Capacity
2.6 BPLC Deployment into TVWS
2.6.1 Cooperation between BPLC and TVWS: Is It practical?
2.7 Summary
References
3 Channel Models of Wireless and Power Line Communications
3.1 Wireless Communication Channels
3.1.1 Large-Scale Propagation
3.1.2 Small-Scale Propagation
3.1.3 Additive White Gaussian Noise Channel
3.2 Power Line Communication Channels
3.2.1 PLC Channel Modeling
3.3 Summary
References
Part II: Hybrid VHF TV White Space-BroadbandP ower Line Communication for Indoor High Speed IoT Networks
4 High-Speed Industrial IoT Networks: Gap between Existing Technologies and New Challenges
4.1 Introduction
4.2 IoT Network in Industrial Areas
4.3 IoT Networks in Urban Areas
4.4 IoT Networks in Agricultural Areas
4.5 IoT Heterogeneous Networks
4.6 Summary
References
5 Cross Talk between TV White Space and Power Line Communication
5.1 Introduction
5.2 GSBPLM PLC Path Loss Mapping
5.2.1 Topology Layout
5.2.2 Load Distribution
5.2.3 Cable Modeling
5.2.4 GRB Method for Channel Transfer Function Computation
5.2.5 Simulations versus Measurements
5.3 Modeling the Cross Talk between TVWS and BPLC Channels
5.4 Summary
References
6 MIMO TV White Space-Broadband Power Line Communication Point-to-Point System
6.1 Introduction
6.2 System Model
6.3 Cognitive Spectrum Access
6.3.1 Iterative Hybrid SVD/P-SVD Precoding Technique
6.3.2 Cognitive Spectrum Sensing
6.4 Capacity Maximization Based Power Allocation
6.4.1 Capacity Analysis
6.4.2 Power Allocation
6.5 Simulation Results
6.5.1 Simulation Setup
6.5.2 Simulation Results
6.5.3 Discussion on Practical Implementation and Measurement Results
6.6 Summary
References
7 TV White Space Regulated Broadband Power Line Communication for IoT Networks: A Standard Perspective
7.1 Introduction
7.2 HT-WBPLC: Standard Overview and System Model
7.2.1 HT-WBPLC Standard for IoT Networks
7.2.2 HT-WBPLC System Model
7.3 HT-WBPLC MIMO Channel Model
7.3.1 Channel Estimation
7.3.2 Channel Model
7.4 Throughput Maximization and Power Allocation in HT-WBPLC
7.4.1 Problem Formulation
7.4.2 Problem Solution
7.5 Numerical Results
7.5.1 HT-WBPLC Coverage
7.5.2 HT-WBPLC Throughput
7.6 Summary
References
Part III: Hybrid UHF Wireless-Power Line Sensor Networks
8 Overview and Applications of Sensor Networks
8.1 Architecture of Sensor Networks
8.2 Applications of Sensor Networks
References
9 Cross-Layer Network Lifetime Maximization for Hybrid Sensor Networks
9.1 Real-Life Application
9.2 Chapter Overview
9.3 RelatedWork
9.4 System Model
9.4.1 Physical Layer
9.4.2 MAC Layer
9.4.3 Traffic Flow
9.5 Problem Formulation
9.6 Optimization Approach
9.7 Numerical Results and Analysis
9.7.1 Transmission Strategies of PL Nodes
9.8 Summary
References
10 Hybrid Wireless-Power Line Video Sensor Networks with Distributed Cross-Layer Optimization
10.1 RelatedWork
10.2 Chapter Overview
10.3 System Model
10.3.1 Video Distortion Model
10.3.2 Channel Access Model
10.3.3 Flow Conservation Constraint
10.3.4 Energy Consumption Model
10.3.5 Network Lifetime
10.4 Problem Formulation
10.5 Optimization Approach and Distributed Algorithm
10.5.1 Low-Level Optimization
10.5.2 High-Level Optimization
10.5.3 Summary of the Distributed Algorithm
10.6 Numerical Results
10.7 Summary
References
Appendix A Derivation of A General Expression for OBS in Chapter 5
Appendix B Proof of Lemma 1 in Chapter 6
Appendix C Proof of Lemma 2 in Chapter 6
About the Authors
Index

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