Decentralized coverage control problems for mobile robotic sensor and actuator networks /

• Κύριοι συγγραφείς: Savkin, Andrey V. (Συγγραφέας), Cheng, Teddy M. (Συγγραφέας), Li, Zhiyu (Συγγραφέας), Javed, Faizan (Συγγραφέας), Matveev, Alexey S. (Συγγραφέας), Nguyen, Hung (Συγγραφέας)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, NJ : Wiley, [2015]
• Σειρά: IEEE Press series on systems science and engineering.
• Θέματα: Mobile robots.; Robots > Control systems.; TECHNOLOGY & ENGINEERING / Engineering (General); Electronic books.
• Φυσική περιγραφή: 1 online resource.
• Βιβλιογραφία: Includes bibliographical references and index.
• ISBN: 9781119058052; 9781119057949; 1119057949; 1119058058; 1119025222; 9781119025221; 9781119058168; 1119058163
• DOI: 10.1002/9781119058052
• Πρόσβαση: Restricted to subscribers or individual electronic text purchasers.; Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact [e-mail].

This book introduces various coverage control problems for mobile sensor networks including barrier, sweep and blanket. Unlike many existing algorithms, all of the robotic sensor and actuator motion algorithms developed in the book are fully decentralized or distributed, computationally efficient, easily implementable in engineering practice and based only on information on the closest neighbours of each mobile sensor and actuator and local information about the environment. Moreover, the mobile robotic sensors have no prior information about the environment in which they operation. These various types of coverage problems have never been covered before by a single book in a systematic way. Another topic of this book is the study of mobile robotic sensor and actuator networks. Many modern engineering applications include the use of sensor and actuator networks to provide efficient and effective monitoring and control of industrial and environmental processes. Such mobile sensor and actuator networks are able to achieve improved performance and efficient monitoring together with reduction in power consumption and production cost.