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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 Design of a Novel Adaptive Indoor Air Quality Control for Co-learning Smart House
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    Chapter 2 A Design-Led, Materials Based Approach to Human Centered Applications Using Modified Dielectric Electroactive Polymer Sensors
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    Chapter 3 How to Ruin Sensor Network Performance Using Duplicate Suppression
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    Chapter 4 A Open Hardware Wireless Sensor Monitoring System for Human Wellbeing Research in Ambient Assisted Living
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    Chapter 5 Artificial Immune System - A New Approach for the Long-Term Data Monitoring in Ambient Assisted Living
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    Chapter 6 A Secure Authentication and Key Management Scheme for Wireless Sensor Networks
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    Chapter 7 HUMsim: A Privacy-Oriented Human Mobility Simulator
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    Chapter 8 Mobile Health Applications: A Comparative Analysis and a Novel Mobile Health Platform
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    Chapter 9 Overview of Mobile Sensing for Special Needs: Lessons Learned from I Can Workshop
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    Chapter 10 A User-Centric Approach to Building Experience Platforms for Capturing Lifestyle and Wellbeing Information
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    Chapter 11 From Silos to the IoT via oneM2M, a Standardized M2M Service Platform
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    Chapter 12 Decentralising Internet of Things Aware BPMN Business Processes
Attention for Chapter 6: A Secure Authentication and Key Management Scheme for Wireless Sensor Networks
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mendeley
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Chapter title
A Secure Authentication and Key Management Scheme for Wireless Sensor Networks
Chapter number 6
Book title
Sensor Systems and Software
Published by
Springer, Cham, October 2014
DOI 10.1007/978-3-319-17136-4_6
Book ISBNs
978-3-31-917135-7, 978-3-31-917136-4
Authors

Sarmadullah Khan, Rafiullah Khan, Khan, Sarmadullah, Khan, Rafiullah

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Master 2 25%
Researcher 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 3 38%
Engineering 2 25%
Unknown 3 38%

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