VLOCI2: improving 2D location coordinates using distance measurements in GPS-equipped VANETs

  • Authors:
  • Farhan Ahammed;Javid Taheri;Albert Zomaya;Max Ott

  • Affiliations:
  • The University of Sydney, Sydney, Australia;The University of Sydney, Sydney, Australia;The University of Sydney, Sydney, Australia;National ICT Australia, Sydney, Australia

  • Venue:
  • Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
  • Year:
  • 2011

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Abstract

The problem of further improving the accuracy of GPS-provided coordinates of vehicles within the same VANET (Vehicular Ad-Hoc Network) is addressed. VANETs can be used to increase the accuracy of each vehicle's computed location by allowing vehicles to share information wth each other. This paper looks at improving the coordinates provided by the GPS devices, given that erroneous measurements are present in the system. The algorithm VLOCI2 is an extension of the VLOCI algorithm by providing location improvement on multi-laned roads. VLOCI2 is shown to perform efficiently when erroneous distance measurements are present in the environment/computations.