Wireless mesh networks for IoT and smart cities : technologies and applications / edited by Luca Davoli and Gianluigi Ferrari.

Format:

Book

Contributor:

Davoli, Luca, editor.

Ferrari, Gianluigi, 1974- editor.

Series:

IET telecommunications series ; 101.

Telecommunications

Language:

English

Subjects (All):

Wireless communication systems--Design and construction.

Internet of things.

Smart cities.

Wireless communication systems--Technological innovations.

Wireless communication systems.

Wireless communication systems--Security measures.

Physical Description:

1 online resource (xii, 274 pages) : illustrations

Edition:

1st ed.

Place of Publication:

London : Institution of Engineering and Technology, 2022.

Language Note:

In English.

Summary:

Covering new developments and state-of-the-art research in Wireless Mesh Networks (WMNs), this edited book is a useful reference for ICT networking engineers, researchers, scientists, engineers, advanced students and lecturers in both academia and industry working on Wireless Communications and WMNs.

Contents:

Intro

Contents

About the Editors

1. Wireless mesh network emulation | Ramon dos Reis Fontes, Augusto José Venâncio Neto, and Christian Esteve Rothenberg

1.1 Introduction

1.2 Mininet-WiFi: a primer

1.3 Overview of wireless mesh technologies

1.4 Routing protocols for WMN

1.5 Experimental use cases

1.6 Conclusion

References

2. A sink-oriented routing protocol for blue light link-based mesh network | Luca Davoli, Massimo Moreni, and Gianluigi Ferrari

2.1 Introduction

2.2 Related works

2.3 Sink-oriented routing protocol

2.4 Topology construction (downlink)

2.5 Data collection - request (downlink)

2.6 Data collection - response (uplink)

2.7 Use cases

2.8 Conclusions

Acknowledgement

3. Body sensor networks-recent advances and challenges | Shama Siddiqui, Anwar Ahmed Khan, and Indrakshi Dey

3.1 Introduction

3.2 Applications of BSN

3.3 Body sensor networks-overview and components

3.4 BSN architecture

3.5 BSN network layers

3.6 Security threats and solutions for BSN

3.7 Opportunities and open research directions

3.8 Conclusion

4. Seamless IoT mobile sensing through Wi-Fi mesh networking | Antonio Cilfone, Luca Davoli, Laura Belli, and Gianluigi Ferrari

4.1 Introduction

4.2 Background

4.3 Mesh network implementation

4.4 Conclusions and application scenarios

Acknowledgments

5. Software-defined radio for wireless mesh networks | Rafik Zitouni, Laurent George, and Stefan Ataman

5.1 Introduction

5.2 Challenges for the wireless mesh networks

5.3 Software-defined radio (SDR)

5.4 Performances analysis of SDR platform

5.5 SDR for IEEE 802.15.4e

5.6 SDR for IEEE 802.11p

5.7 Conclusion

References.

6. Backpressure and FlashLinQ-based algorithms for multi-hop flying ad-hoc networks | Benjamin Okolo, Chiara Buratti, and Roberto Verdone

6.1 Introduction

6.2 System model

6.3 The proposed algorithms

6.4 The benchmark solution

6.5 Numerical results and discussions

6.6 Conclusion

7. Unmanned aerial vehicle relay networks | Evşen Yanmaz

7.1 Introduction

7.2 System model

7.3 Path planning for UAV relay networks

7.4 Results and discussions

7.5 Conclusions

8. Multimedia content delivery in wireless mesh networking | Ting Bi and Shengyang Chen

8.1 Introduction

8.2 Multimedia content delivery and quality evaluation

8.3 Video content delivery quality measurement

8.4 Energy consumption issues during content delivery

8.5 Protocols, schemes, and algorithms

8.6 MAC-layer schemes

8.7 Routing protocols and algorithms

8.8 Multimedia content delivery services

8.9 Research-related works

8.10 Industrial solutions and products

8.11 Challenging multimedia content

9. Toward intelligent extraction of relevant information by adaptive fuzzy agents in big data and multi-sensor environments | Zakarya Elaggoune, Ramdane Maamri, Allel Hadjali, and Imane Boussebough

9.1 Introduction

9.2 Our previous work

9.3 Toward a learning fuzzy agent approach for relevant data extraction in big data and multi-sensor environments

9.4 Conclusion

10. Artificial intelligence-aided resource sharing for wireless mesh networks | Indrakshi Dey, Georgios Ropokis, and Nicola Marchetti

10.1 Introduction

10.2 ML-assisted resource sharing

10.3 DL-assisted resource sharing

10.4 Distributed intelligence-assisted resource sharing

10.5 Outlook

11. Boosting machine learning mechanisms in wireless mesh networks through quantum computing | Francesco Vista, Vittoria Musa, Giuseppe Piro, Luigi Alfredo Grieco, and Gennaro Boggia

11.1 Introduction

11.2 The role of ML in WMNs

11.3 Quantum computing: background and QML

11.4 Introduction of QML in WMNs: design principles and research challenges

11.5 Conclusions

12. Game theoretical-based task allocation in malicious cognitive Internet of Things | Marco Martalò, Virginia Pilloni, Talha Faizur Rahman, and Luigi Atzori

12.1 Introduction

12.2 Related work

12.3 Reference scenario

12.4 The task allocation strategy

12.5 Simulation results

12.6 Concluding remarks

13. Conclusions and future perspectives | Luca Davoli and Gianluigi Ferrari

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-83724-511-8

1-5231-4669-9

1-83953-283-1

OCLC:

1328135916