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Communication Technologies for Vehicles

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication
  3. Altmetric Badge
    Chapter 2 Service Driven Dynamic Hashing Based Radio Resource Management for Intelligent Transport Systems
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    Chapter 3 Cross-Layer Design Based Transmit Antenna Selection for Vehicular Ad-hoc Networks
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    Chapter 4 F-ETX: An Enhancement of ETX Metric for Wireless Mobile Networks
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    Chapter 5 City-Obstacles Impact on OLSR-Based Routing Protocols
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    Chapter 6 TCP Application Recovery Improvement After Handover in Mobile Networks
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    Chapter 7 Effective Certificate Distribution in ETSI ITS VANETs Using Implicit and Explicit Requests
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    Chapter 8 QoE-Driven Video Streaming System over Cloud-Based VANET
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    Chapter 9 Augmented Reality Based Traffic Sign Recognition for Improved Driving Safety
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    Chapter 10 Evolving Traffic Scenarios to Test Driver Assistance Systems in Simulations
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    Chapter 11 QoS-Aware Radio Access Technology (RAT) Selection in Hybrid Vehicular Networks
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    Chapter 12 Performance Analysis of ITS-G5 for Dynamic Train Coupling Application
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    Chapter 13 Fair Preemption for Joint Delay Constrained and Best Effort Traffic Scheduling in Wireless Networks
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    Chapter 14 Unleashing the Potential of LTE for Next Generation Railway Communications
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    Chapter 15 Broadband Internet Access on board High Speed Trains, A Technological Survey
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    Chapter 16 The Adoption of Public Telecom Services for the Evolution of the ERTMS-ETCS Train Control Systems: Challenges and Opportunities
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    Chapter 17 Towards a Deterministic Mixed Criticality High Availability Seamless Redundancy (HSR) Ring
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    Chapter 18 A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles
  20. Altmetric Badge
    Chapter 19 Performance of Context-Aware Publish/Subscribe Systems for AANET
  21. Altmetric Badge
    Chapter 20 Emulation-Based Performance Evaluation of Routing Protocols for Uaanets
Attention for Chapter 1: Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 Google+ user

Citations

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3 Dimensions

Readers on

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12 Mendeley
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Chapter title
Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication
Chapter number 1
Book title
Communication Technologies for Vehicles
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-319-17765-6_1
Book ISBNs
978-3-31-917764-9, 978-3-31-917765-6
Authors

Ahmad Baheej Al-Khalil, Scott Turner, Ali Al-Sherbaz, Scott John Turner

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 17%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Lecturer > Senior Lecturer 2 17%
Lecturer 1 8%
Unspecified 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Computer Science 6 50%
Engineering 3 25%
Unspecified 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 February 2017.
All research outputs
#14,223,874
of 22,803,211 outputs
Outputs from Lecture notes in computer science
#4,309
of 8,126 outputs
Outputs of similar age
#137,647
of 266,082 outputs
Outputs of similar age from Lecture notes in computer science
#71
of 306 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
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 44th percentile – i.e., 44% 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 266,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.