Building Wireless Sensor Networks (PDF)
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This book presents the state of the art of wireless sensor networks (WSNs) from fundamental concepts to cutting-edge technologies. Providing essential knowledge of the theory and practice of wireless sensor networking, the text discusses WSN architectures, protocols, and operating systems. It also addresses WSN security and energy efficiency, and includes sample programs. Rather than focusing on a specific area of research, this book offers overarching coverage of WSNs, filling a critical gap in the existing literature.
Sarmistha Neogy is an associate professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India. She received her Ph.D in engineering and master's and bachelor's in computer science and engineering from Jadavpur University. Dr. Neogy's research interests are in areas of fault tolerance in distributed systems, reliability and security in wireless and mobile systems, and wireless sensor networks. She is a senior member of the IEEE and IEEE Computer Society. She has a number of publications in international journals and proceedings of international conferences.
Sarbani Roy is an assistant professor at Jadavpur University, Kolkata, India. She was previously a Fulbright Fellow at the University of North Carolina at Charlotte, USA, and a lecturer at St. Thomas's College of Engineering and Technology, Kolkata, India. She holds a B.Sc (Hons) in computer science, M.Sc in computer science, and M.Tech in computer science and engineering from the University of Calcutta, India, and a Ph.D in engineering from Jadavpur University. Dr. Roy's work has been published in international peer-reviewed journals and conference proceedings. Her research interests include distributed computing, wireless sensor networks, grid and cloud computing, and social network analysis.
- Autoren: Nandini Mukherjee , Sarmistha Neogy , Sarbani Roy
- 2017, 278 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1482230089
- ISBN-13: 9781482230086
- Erscheinungsdatum: 19.12.2017
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- Größe: 2.41 MB
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