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Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots

  • 1st Edition - January 3, 2022
  • Latest edition
  • Authors: Hailong Huang, Andrey V. Savkin, Chao Huang
  • Language: English

Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots covers wireless sensor networks and cellular networks. For wireless sensor networks, the bo… Read more

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Description

Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots covers wireless sensor networks and cellular networks. For wireless sensor networks, the book presents approaches using mobile robots or UAVs to collect sensory data from sensor nodes. For cellular networks, it discusses the approaches to using UAVs to work as aerial base stations to serve cellular users. In addition, the book covers the challenges involved in these two networks, existing approaches (e.g., how to use the public transportation vehicles to play the role of mobile sinks to collect sensory data from sensor nodes), and potential methods to address open questions.

Key features

  • Gives a comprehensive understanding of the development of mobile robot-supported wireless communication approaches
  • Provides the latest approaches of mobile robot-supported wireless communication, including scheduling approaches with multiple robots and the online and reactive navigation algorithm
  • Covers interesting research scenarios that include the system model, problem statement, solution and results so that readers will be able to design their own system
  • Presents unresolved research issues and future research directions

Readership

Graduate students and researchers in electrical and electronic engineering in subjects such as communications engineering, UAVs, control engineering, robotics

Table of contents

1. Introduction

1.1 Autonomous vehicles in wireless communication networks

1.2 Overview and organization of the book
References

2. Survey of approaches for wireless communication networks supported by ground robots

2.1 Introduction

2.2 WSNs supported by mobile robots

2.3 Concluding remarks
References

3. Wireless communication networks supported by autonomous UAVs: a survey

3.1 Introduction

3.2 UAVs serve humans and WSNs

3.3 UAVs collaborating with WSNs

3.4 Discussion and future research directions

3.5 Summary
References

4. Data collection in wireless sensor networks by ground robots with full freedom

4.1 Motivation

4.2 System model and problem statement

4.3 Shortest viable path planning

4.4 k-Shortest viable path planning

4.5 Simulation results

4.6 Discussion

4.7 Summary
References

5. Data collection in wireless sensor networks by ground robots with fixed trajectories

5.1 Motivation

5.2 Network model

5.3 Routing protocol

5.4 Protocol analysis

5.5 Simulation results

5.6 Summary
References

6. Energy-efficient path planning of a solar-powered UAV for secure communication in the presence of eavesdroppers and no-fly zones

6.1 Motivation

6.2 Problem statement

6.3 Navigation law

6.4 Simulation results

6.5 Summary
References

7. Multiobjective path planning of a solar-powered UAV for secure communication in urban environments with eavesdropping avoidance

7.1 Motivation

7.2 Problem statement

7.3 RRT-based path planning

7.4 Simulation results

7.5 Summary
References

8. Reactive deployment of UAV base stations for providing wireless communication services

8.1 Motivation

8.2 Problem statement

8.3 Proposed solution

8.4 Simulation results

8.5 Conclusion
References

9. Optimized deployment of UAV base stations for providing wireless communication service in urban environments

9.1 Motivation

9.2 System model and problem statement

9.3 Proposed solution

9.4 Performance evaluation

9.5 Summary
References

10. Energy-efficient path planning of solar-powered UAVs for communicating with mobile ground users in urban environments

10.1 Motivation

10.2 Related work

10.3 System model and problem statement

10.4 Proposed navigation method

10.5 Simulations

10.6 Summary

Product details

  • Edition: 1
  • Latest edition
  • Published: January 24, 2022
  • Language: English

About the authors

HH

Hailong Huang

Dr. Hailong Huang received a B.Sc. degree in automation, from China University of Petroleum, Beijing, China, in June 2012, and received Ph.D degree in Systems and Control from the University of New South Wales, Sydney, Australia, in March 2018. From Feb. 2018 to July 2021, he worked as a postdoctoral research fellow at the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia. He is now an assistant professor at the Department of Aeronautical and Aviation Engineering, the Hong Kong Polytechnic University. His current research interests include the coordination, navigation and control of ground robots and unmanned aerial vehicles.
Affiliations and expertise
Assistant Professor, Department of Aeronautical and Aviation Engineering, the Hong Kong Polytechnic University, Hong Kong

AS

Andrey V. Savkin

Prof. Andrey V. Savkin received M.S. and Ph.D. degrees in mathematics from the Leningrad State University, Saint Petersburg, Russia, in 1987 and 1991, respectively. From 1987 to 1992, he was with the Television Research Institute, Leningrad, Russia. From 1992 to 1994, he held a Postdoctoral position in the Department of Electrical Engineering, Australian Defence Force Academy, Canberra. From 1994 to 1996, he was a Research Fellow in the Department of Electrical and Electronic Engineering and the Cooperative Research Centre for Sensor Signal and Information Processing, University of Melbourne, Australia. From 1996 to 2000, he was a Senior Lecturer, and then an Associate Professor in the Department of Electrical and Electronic Engineering, University of Western Australia, Perth. Since 2000, he has been a Professor in the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia. His current research interests include robust control and state estimation, hybrid dynamical systems, guidance, navigation and control of mobile robots, applications of control and signal processing in biomedical engineering and medicine.
Affiliations and expertise
Professor, School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

CH

Chao Huang

Dr. Chao Huang received the B.Sc. degree in automation, from China University of Petroleum, Beijing, China, in June 2012, and received Ph.D degree from the University of Wollongong, Australia, in Dec. 2018. From Sep. 2018 to Sep. 2019, she worked as a project leader at National Institute of Informatics, Tokyo, Japan. From Oct. 2019 to July 2021, she worked as a postdoctoral research fellow at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. She is now a research assistant professor at the Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University, Hong Kong. Her interests include motion planning, human machine collaboration, fault tolerant, and automotive control and application.
Affiliations and expertise
Research Assistant Professor, Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University, Hong Kong

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