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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 V2V Communication Channels: State of Knowledge, New Results, and What’s Next
  3. Altmetric Badge
    Chapter 2 Internet Onboard: Technical Analysis
  4. Altmetric Badge
    Chapter 3 A QoS-Based Multi-user Scheduler Applied to Railway Radio-Communications
  5. Altmetric Badge
    Chapter 4 Survey on Context-Aware Publish/Subscribe Systems for VANET
  6. Altmetric Badge
    Chapter 5 A Survey on Security in Vehicular Ad Hoc Networks
  7. Altmetric Badge
    Chapter 6 Wireless Vehicular Network Standard Harmonization
  8. Altmetric Badge
    Chapter 7 Multi-technology Vehicular Cooperative System Based on Software Defined Radio (SDR)
  9. Altmetric Badge
    Chapter 8 Performance of Inter-Vehicle Relay Network Based IR-UWB
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    Chapter 9 The Effects of Increasing Antenna Arrays and Spatial Correlation on Loading Algorithm for Closed-Loop MIMO Vehicle-to-Infrastructure Communications
  11. Altmetric Badge
    Chapter 10 Increased Communication Reliability for Delay-Sensitive Platooning Applications on Top of IEEE 802.11p
  12. Altmetric Badge
    Chapter 11 Development of Car2X Communication and Localization PHY and MAC Protocol Following Iterative Spiral Model Using Simulation and Emulation
  13. Altmetric Badge
    Chapter 12 Characterization of a Laser Scanner Sensor for the Use as a Reference System in Vehicular Relative Positioning
  14. Altmetric Badge
    Chapter 13 Estimating the Scheduling Discipline of an Ethernet Switch Using Constant Bit-Rate Probes
  15. Altmetric Badge
    Chapter 14 Bridging Physical and Digital Traffic System Simulations with the Gulliver Test-Bed
  16. Altmetric Badge
    Chapter 15 Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
  17. Altmetric Badge
    Chapter 16 LTE Based Communication System for Urban Guided-Transport: A QoS Performance Study
  18. Altmetric Badge
    Chapter 17 Performance of LTE in High Speed Railway Scenarios
  19. Altmetric Badge
    Chapter 18 Generating Test Scenarios Based on Real-World Traces for ERTMS Telecommunication Subsystem Evaluation
  20. Altmetric Badge
    Chapter 19 Blind Digital Modulation Detector for MIMO Systems over High-Speed Railway Channels
  21. Altmetric Badge
    Chapter 20 Enhancing the CATS Framework by Providing Asynchronous Deployment for Mobile Application
Attention for Chapter 15: Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
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Chapter title
Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
Chapter number 15
Book title
Communication Technologies for Vehicles
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37974-1_15
Book ISBNs
978-3-64-237973-4, 978-3-64-237974-1
Authors

Zubair Nabi, Atif Alvi, Gary Allen, David Greaves, Rashid Mehmood, Marion Berbineau, Magnus Jonsson, Jean-Marie Bonnin, Soumaya Cherkaoui, Marina Aguado, Cristina Rico-Garcia, Hassan Ghannoum, Alexey Vinel, Nabi, Zubair, Alvi, Atif, Allen, Gary, Greaves, David, Mehmood, Rashid

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 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 2 25%
Professor 1 13%
Other 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 6 75%
Unknown 2 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 16 May 2013.
All research outputs
#15,271,909
of 22,710,079 outputs
Outputs from Lecture notes in computer science
#4,645
of 8,122 outputs
Outputs of similar age
#181,499
of 280,734 outputs
Outputs of similar age from Lecture notes in computer science
#192
of 314 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 280,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.