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Sensor Systems and Software

Overview of attention for book
Cover of 'Sensor Systems and Software'

Table of Contents

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    Book Overview
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    Chapter 1 Vehicular Sensing: Emergence of a Massive Urban Scanner
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    Chapter 2 Framework for a Self-managed Wireless Sensor Cloud for Critical Event Management
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    Chapter 3 Middleware Mechanisms for Agent Mobility in Wireless Sensor and Actuator Networks
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    Chapter 4 Vital Responder – Wearable Sensing Challenges in Uncontrolled Critical Environments
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    Chapter 5 Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games
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    Chapter 6 Connected Cars: How Distributed Data Mining Is Changing the Next Generation of Vehicle Telematics Products
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    Chapter 7 Modelling and Simulation of Underwater Low-Power Wake-Up Systems
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    Chapter 8 Collaborative Sensing Platform for Eco Routing and Environmental Monitoring
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    Chapter 9 Integrate WSN to the Web of Things by Using XMPP
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    Chapter 10 Challenges and Opportunities for Embedded Computing in Retail Environments
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    Chapter 11 The Need for Standardized Tests to Evaluate the Reliability of Data Transport in Wireless Medical Systems
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    Chapter 12 Link Stability in a Wireless Sensor Network – An Experimental Study
Attention for Chapter 9: Integrate WSN to the Web of Things by Using XMPP
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Citations

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Readers on

mendeley
15 Mendeley
Summary Dimensions citations
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Chapter title
Integrate WSN to the Web of Things by Using XMPP
Chapter number 9
Book title
Sensor Systems and Software
Published by
Springer, Berlin, Heidelberg, June 2012
DOI 10.1007/978-3-642-32778-0_9
Book ISBNs
978-3-64-232777-3, 978-3-64-232778-0
Authors

Pin Nie, Jukka K. Nurminen

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Other 3 20%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 12 80%
Social Sciences 1 7%
Engineering 1 7%
Unknown 1 7%

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