Wireless Sensor Networks: Security, Coverage, and Localization

Selmic, Rastko R./ Phoha, Vir V./ Serwadda, Abdul

ISBN 10: 3319467670 / ISBN 13: 9783319467672

Published by Springer-Verlag New York Inc, 2016

About this Item

232 pages. 9.50x6.50x0.75 inches. In Stock. Seller Inventory # x-3319467670

Bibliographic Details

Title: Wireless Sensor Networks: Security, Coverage...

Publisher: Springer-Verlag New York Inc

Publication Date: 2016

Binding: Hardcover

Condition: Brand New

About this title

Synopsis:

This book presents a comprehensive overview of wireless sensor networks (WSNs) with an emphasis on security, coverage, and localization. It offers a structural treatment of WSN building blocks including hardware and protocol architectures and also provides a systems-level view of how WSNs operate. These building blocks will allow readers to program specialized applications and conduct research in advanced topics.

A brief introductory chapter covers common applications and communication protocols for WSNs. Next, the authors review basic mathematical models such as Voroni diagrams and Delaunay triangulations. Sensor principles, hardware structure, and medium access protocols are examined. Security challenges ranging from defense strategies to network robustness are explored, along with quality of service measures. Finally, this book discusses recent developments and future directions in WSN platforms.

Each chapter concludes withclassroom-tested exercises that reinforce key concepts. This book is suitable for researchers and for practitioners in industry. Advanced-level students in electrical engineering and computer science will also find the content helpful as a textbook or reference.

Review:

“The book is a good source for understanding the core concepts of the field. ... This book covers essential information about WSNs. ... it can also be easily read by people who are new to the field. It also has a list of references and questions at the end, so it could be used as a textbook. It is a valuable source for learning the foundational principles of WSNs.” (Computing Reviews, August, 2017)