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Communication Technologies for Vehicles

Overview of attention for book
Cover of 'Communication Technologies for Vehicles'

Table of Contents

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    Book Overview
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    Chapter 1 Cellular Networking Technologies in ITS Solutions: Opportunities and Challenges
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    Chapter 2 Effective and Efficient Security Policy Engines for Automotive On-Board Networks
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    Chapter 3 Security Solutions for Highly Dynamic Car2X Networks in the KoFAS Initiative
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    Chapter 4 ICDMS: An Intelligent Cloud Based Disaster Management System for Vehicular Networks
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    Chapter 5 Wireless Driver and Vehicle Surveillance System Based on IEEE 802.11 Networks
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    Chapter 6 Architecture of Car Measurement System for Driver Monitoring
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    Chapter 7 Toward Revocation Data Handling Efficiency in VANETs
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    Chapter 8 Cluster Based Data Aggregation in Vehicular Adhoc Network
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    Chapter 9 Simulations of VANET Scenarios with OPNET and SUMO
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    Chapter 10 Human Participatory Sensing in Fixed Route Bus Information System
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    Chapter 11 Scheduling of Vehicles in Transportation Networks
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    Chapter 12 Design and Prototype of a Train-to-Wayside Communication Architecture
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    Chapter 13 Conceptual Architectural Design of Indian Railway Intelligent Transportation Systems
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    Chapter 14 Automatic Alert Generation from Train to the People at Unmanned Level Crossings Using Principles of IoT
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    Chapter 15 MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins
Attention for Chapter 15: MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins
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Mentioned by

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1 Facebook page

Citations

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2 Dimensions

Readers on

mendeley
4 Mendeley
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Chapter title
MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins
Chapter number 15
Book title
Communication Technologies for Vehicles
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-29667-3_15
Book ISBNs
978-3-64-229666-6, 978-3-64-229667-3
Authors

Patricia Noriega-Vivas, Celeste Campo, Carlos Garcia-Rubio, Alicia Rodriguez-Carrion, Noriega-Vivas, Patricia, Campo, Celeste, Garcia-Rubio, Carlos, Rodriguez-Carrion, Alicia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Engineering 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,126 outputs
Outputs of similar age
#221,339
of 244,255 outputs
Outputs of similar age from Lecture notes in computer science
#450
of 490 outputs
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So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.