Analyze impact of context information on rate adaptation algorithm in vehicular communication

K.S. Nwizege, J. He, M. Shedrack, F.M. Good, M. Macmammah

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Nowadays, road safety and traffic congestion are major concerns worldwide. This is why research on vehicular communication is very vital. In static scenarios vehicles behave typically like in an office network where nodes transmit without moving and with no defined position. This paper analyses the impact of context information on existing popular rate adaptation algorithms. Our simulation was done in MATLAB by observing the impact of context information on these algorithms. Simulation was performed for both static and mobile cases.Our simulations are based on IEEE 802.11p wireless standard. For static scenarios vehicles do not move and without defined positions, while for the mobile case, vehicles are mobile with uniformly selected speed and randomized positions. Network performance are analysed using context information. Our results show that in mobility when context information is used, the system performance can be improved for all three rate adaptation algorithms. That can be explained by that with range checking, when many vehicles are out of communication range, less vehicles contend for network resources, thereby increasing the network performances.
Original languageEnglish
Title of host publication2013 UKSim 15th International Conference on Computer Modelling and Simulation
PublisherIEEE
Pages739-744
Number of pages6
ISBN (Print)978-1-4673-6421-8
DOIs
Publication statusPublished - 2013
Event15th international conference on computer modelling and Simulation - Cambridge, United Kingdom
Duration: 10 Apr 201312 Apr 2013

Conference

Conference15th international conference on computer modelling and Simulation
Abbreviated titleUKSim 2013
Country/TerritoryUnited Kingdom
CityCambridge
Period10/04/1312/04/13

Keywords

  • DSRC
  • vehicular communication
  • context information
  • propagation model
  • algorithms
  • protocol
  • MATLAB
  • rate adaptation
  • IEEE802.11p
  • data transfer
  • mobility

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