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Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks

Elton Hayes

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Published in Decentralized Coverage Control Problems For Mobile Robotic Sensor And Actuator Networks (IEEE Press On Systems Science And Engineering)

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In the realm of robotics, the ability for mobile robotic sensor and actuator networks to effectively and efficiently cover an area is crucial for a wide range of applications, including environmental monitoring, surveillance, and precision agriculture. Decentralized coverage control algorithms play a vital role in achieving this objective by enabling robots to coordinate their movements and actions without relying on centralized control or external communication. This book delves into the intricacies of decentralized coverage control problems, providing a comprehensive guide for researchers, practitioners, and students alike.

Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks (IEEE Press on Systems Science and Engineering)

Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks (IEEE Press Series on Systems Science and Engineering)

5 out of 5

Language	:	English
File size	:	7359 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	150 pages
Lending	:	Enabled

Key Concepts and Challenges

The book begins by introducing the fundamental concepts of coverage control and decentralized algorithms. It explores the challenges associated with designing and implementing decentralized coverage control systems, including the need for robustness, scalability, and adaptability to dynamic environments. Key theoretical concepts such as coverage metrics, connectivity, and sensing and actuation models are thoroughly discussed, providing a solid foundation for understanding the subsequent chapters.

Decentralized Coverage Control Algorithms

The heart of the book lies in the in-depth exploration of decentralized coverage control algorithms. The authors present a wide range of algorithms, from classical approaches such as nearest-neighbor and centroid-based methods to more advanced techniques inspired by swarm intelligence and game theory. Each algorithm is meticulously analyzed, with its strengths, weaknesses, and performance characteristics clearly outlined. The book also includes practical implementation guidelines and real-world examples to illustrate the application of these algorithms in various scenarios.

Case Studies and Applications

To further enhance the readers' understanding, the book presents several case studies and applications that showcase the practical implementation of decentralized coverage control algorithms. These examples cover a diverse range of domains, including environmental monitoring, surveillance, and cooperative manipulation. The case studies provide valuable insights into the challenges and considerations involved in deploying decentralized coverage control systems in real-world settings.

Advanced Topics

For readers interested in delving deeper into the subject, the book includes additional chapters that explore advanced topics in decentralized coverage control. These chapters discuss topics such as coverage control under communication constraints, coverage control with limited sensing and actuation capabilities, and coverage control in heterogeneous networks. The book also provides an overview of recent research trends and open problems in the field, inspiring readers to push the boundaries of knowledge in this exciting area.

This comprehensive book on decentralized coverage control problems for mobile robotic sensor and actuator networks is an invaluable resource for researchers, practitioners, and students. It provides a thorough understanding of the theoretical foundations, algorithmic design principles, and practical considerations involved in designing and implementing decentralized coverage control systems. With its in-depth analysis, real-world examples, and cutting-edge insights, this book empowers readers to tackle complex coverage control challenges and contribute to the advancement of robotics and autonomous systems.

Free Download your copy today and unlock the secrets of decentralized coverage control for mobile robotic sensor and actuator networks!

Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks (IEEE Press Series on Systems Science and Engineering)

5 out of 5