Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis. Hossam Mahmoud Ahmad Fahmy

Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis

Wireless-Sensor-Networks.pdf
ISBN: 9789811004117 | 520 pages | 13 Mb

Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis
Hossam Mahmoud Ahmad Fahmy
Page: 520
Format: pdf, ePub, fb2, mobi
ISBN: 9789811004117
Publisher: Springer Singapore

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This book focuses on the principles of wireless sensor networks (WSNs), their applications, and their analysis tools, with meticulous attention paid to definitions and terminology. This book presents the adopted technologies and their manufacturers in detail, making WSNs tangible for the reader. In introductory computer networking books, chapter sequencing follows the bottom-up or top-down architecture of the 7-layer protocol. This book addresses subsequent steps in this process, both horizontally and vertically, thus fostering a clearer and deeper understanding through chapters that elaborate on WSN concepts and issues. With such depth, this book is intended for a wide audience; it is meant to be a helper and motivator for senior undergraduates, postgraduates, researchers, and practitioners. It lays out important concepts and WSN-relate applications; uses appropriate literature to back research and practical issues; and focuses on new trends. Senior undergraduate students can use it to familiarize themselves with conceptual foundations and practical project implementations. For graduate students and researchers, test beds and simulators provide vital insights into analysis methods and tools for WSNs. Lastly, in addition to applications and deployment, practitioners will be able to learn more about WSN manufacturers and components within several platforms and test beds.

Integration of Wireless Sensor Networks in the Computer Science
applications of WSNs includes homeland security, health care system, monitoring climate analysis and prediction, battlefield monitoring and surveillance, around the world to integrate wireless sensor networks concepts into their curriculum. . students to do practical experiments Sun SPOT Development kits were used. Wireless Sensor Networks for Soil Science - Microsoft Research
Abstract: Wireless sensor networks can revolutionize soil ecology by providing mea- surements at experimental soil monitoring networks at urban forests in Baltimore, MD. The nodes lidity of this claim through a proof-of-concept WSN that we built .. application of the data analysis and calls for a specialized database Monitoring Animal Behaviour and Environmental Interactions Using
Wireless sensor networks are typically comprised of a collection of sensors in terrestrial monitoring applications by ecologists and environmental scientists qualitative methods which combine spatial and spectral analysis include theconcepts and conclusions in this paper are drawn from experiments Wireless Sensor Networks for Structural Health Monitoring: A Multi
A Multi-Scale Approach,” 2006 ASCE Structures Congress, 17th Analysis traditional approach to wireless networks by tailoring an application-specific In order to achieve the concept of a multi-scale wireless sensor network for SHM, this field testing and bench scale experimentation, followed by full-scale deployment. Congestion Prediction Modeling for Quality of Service Improvement
Keywords: Wireless Sensor Networks (WSNs), congestion prediction, since WSNs have different QoS requirements for each application. Section 4 describes an experiment measuring the accuracy of the . Traffic demandanalysis is distinguished from traffic prediction, . Network Modeling Concept. Wireless Sensor Networks - Concepts, | Hossam Mahmoud Ahmad
Concepts, Applications, Experimentation and Analysis Provides in-depth insights into the basic concepts of wireless sensor networks (WSNs) including clear How Environmental Factors Impact Outdoor Wireless Sensor
experiments focus primarily on characterizing the impact of the environment on the the answer is of more general interest, given the many applications exploiting a WSN used concepts and techniques from these works, e.g., the notion of results, along with support for data visualization and analysis. Once the tests

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