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Future Intelligent Vehicular Technologies

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Cover of 'Future Intelligent Vehicular Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Enforcing Replica Determinism in the Road Side Units of Fault-Tolerant Vehicular Networks
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    Chapter 2 A Deterministic MAC Protocol for Infrastructure to Vehicle Communications in Motorways
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    Chapter 3 A Proposal for an Improved Distributed MAC Protocol for Vehicular Networks
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    Chapter 4 Adaptive Contention Window Design to Minimize Synchronous Collisions in 802.11p Networks
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    Chapter 5 Model Driven Architecture for Decentralized Software Defined VANETs
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    Chapter 6 Data Rate Adaptation Strategy to Avoid Packet Loss in MANETs
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    Chapter 7 Low-Cost Vehicle Driver Assistance System for Fatigue and Distraction Detection
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    Chapter 8 Implementation of Security Services for Vehicular Communications
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    Chapter 9 Performance Evaluation of SIMO Techniques in IEEE 802.11p
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    Chapter 10 Wireless Power Transfer for Energy-Efficient Electric Vehicles
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    Chapter 11 AutoDrop: Automatic DDoS Detection and Its Mitigation with Combination of OpenFlow and sFlow
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    Chapter 12 The Role of Vehicular Cloud Computing in Road Traffic Management: A Survey
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    Chapter 13 Architecture Proposal for MCloud IoT
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    Chapter 14 CoAP-Based Request-Response Interaction Model for the Internet of Things
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    Chapter 15 Performance Analysis of Vehicular Adhoc Network Using Different Highway Traffic Scenarios in Cloud Computing
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    Chapter 16 Secure and Safe Surveillance System Using Sensors Networks - Internet of Things
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    Chapter 17 Challenges and Opportunities in Big Data and Cloud Computing
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    Chapter 18 Applications and Challenges Faced by Internet of Things - A Survey
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    Chapter 19 Cloud Computing Development Life Cycle Model (CCDLC)
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    Chapter 20 Effective Use of Search Functionality in Pakistan E-Government Websites
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    Chapter 21 Ready Mealy, Moore & Markov Mathematical Modeling Machines for Big Data
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    Chapter 22 Education and Socio Economic Factors Impact on Earning for Pakistan - A Bigdata Analysis
Overall attention for this book and its chapters
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Title
Future Intelligent Vehicular Technologies
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-51207-5
ISBNs
978-3-31-951207-5, 978-3-31-951206-8
Editors

Joaquim Ferreira, Muhammad Alam

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 10 25%
Student > Bachelor 5 13%
Lecturer 3 8%
Student > Doctoral Student 3 8%
Other 3 8%
Unknown 5 13%
Readers by discipline Count As %
Computer Science 23 57%
Engineering 7 18%
Agricultural and Biological Sciences 1 3%
Neuroscience 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 7 18%