Wireless Sensor Networks for Structural Health Monitoring (SpringerBriefs in Electrical and Computer Engineering) - Softcover

Cao, Jiannong; Liu, Xuefeng

Softcover

ISBN 10: 3319290320 ISBN 13: 9783319290324

Verlag: Springer, 2016

Inhaltsangabe

This brief covers the emerging area of wireless sensor network (WSN)-based structural health monitoring (SHM) systems, and introduces the authors’ WSN-based platform called SenetSHM.  It helps the reader differentiate specific requirements of SHM applications from other traditional WSN applications, and demonstrates how these requirements are addressed by using a series of systematic approaches. The brief serves as a practical guide, explaining both the state-of-the-art technologies in domain-specific applications of WSNs,  as well as the methodologies used to address the specific requirements for a WSN application. 

In particular, the brief offers instruction for problem formulation and problem solving based on the authors’ own experiences implementing  SenetSHM.  Seven concise chapters cover the development of hardware and software design of SenetSHM, as well as in-field experiments conducted while testing the platform.   The brief’s exploration of the SenetSHM platform is a valuable feature for civil engineers designing their own similar SHM products, and the various concrete examples of problem formulation and algorithm design will make this an essential read for practitioners, researchers and students alike.

Über diesen Titel

Über die Autorin bzw. den Autor

Jiannong Cao received his M.Sc. and Ph.D. degrees in computer science from Washington State University. Before that, he received his B.Sc degree from Nanjing University. He is currently a Chair Professor in the Department of Computing at The Hong Kong Polytechnic University (PolyU). He is also the Dean of Graduate School, the Director of Research Institute of Artificial Intelligent of Things, the director of the Internet and Mobile Computing Lab, and the Vice Director of the University's Research Facility in Big Data Analytics in PolyU. His research interests include distributed systems and blockchain, wireless sensing and networking, big data and machine learning, and mobile cloud and edge computing. He has co-authored 5 books, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He is a member of Academia Europaea, a fellow of IEEE, and an ACM distinguished member. Yanni Yang received her Ph.D. degree in computer science from Hong Kong Polytechnic University in 2021. Before that, she received the B.E. degree and M.Sc. degree from the Ocean University of China in Qingdao. She is currently a Postdoctoral Fellow in the Department of Computing at The Hong Kong Polytechnic University. She visited the Media Lab in MIT in 2019 as a visiting student. Her research interests include wireless human sensing, pervasive and mobile computing, and Internet of Things. She has published papers in many conferences and journals, e.g., ACM UbiComp, IEEE TON, and IEEE TMC.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2016
• Sprache: Englisch
• ISBN 10: 3319290320
• ISBN 13: 9783319290324
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 112
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland