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Problem Solving for Wireless Sensor Networks delivers a comprehensive review of the state of the art in the most important technological issues related to Wireless Sensor Networks (WSN). It covers topics such as hardware platforms, radio technologies, software technologies (including middleware), and network and deployment aspects.
This book discusses the main open issues inside each of these categories and identifies innovations considered most interesting for future research.
Features: - Hardware Platforms in WSN, - Software Technologies in SWN, - Network Aspects and Deployment in WSN,
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Produktbeschreibung
Problem Solving for Wireless Sensor Networks delivers a comprehensive review of the state of the art in the most important technological issues related to Wireless Sensor Networks (WSN). It covers topics such as hardware platforms, radio technologies, software technologies (including middleware), and network and deployment aspects.

This book discusses the main open issues inside each of these categories and identifies innovations considered most interesting for future research.

Features: - Hardware Platforms in WSN, - Software Technologies in SWN, - Network Aspects and Deployment in WSN, - Standards and Safety Regulation for WSN, - European Projects Related to WSN, - WSN Application Scenarios at both utility and technical levels.

Complete, cutting-edge and resulting from the work of many recognized researchers, Problem Solving for Wireless Sensor Networks is an invaluable reference for graduates and researchers, as well as practitioners.

Rezensionen
From the reviews:

"This book provides a comprehensive and up-to-date listing of many of these problems. ... The book should be of particular interest to readers who want to learn about current hardware and software challenges that affect WSNs, in a brief and concise manner. ... it will be most useful if used as a basis from which interested readers can explore the topic in much greater depth. ... readers from other continents will find its lists of open problems useful and rewarding." (Burkhard Englert, ACM Computing Reviews, May, 2009)