LICA: robust localization using cluster analysis to improve GPS coordinates

  • Authors:

  • Farhan Ahammed;Javid Taheri;Albert Zomaya

  • Affiliations:

  • The University of Sydney, Sydney, & NICTA Australia, Eveleigh, Australia;The University of Sydney, Sydney, Australia;The University of Sydney, Sydney, Australia

  • Venue:
  • Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
  • Year:
  • 2011

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Abstract

Vehicular Ad~Hoc Networks (VANETs) allow vehicles to communicate with each other using wireless means and thus connect them in a very dynamic wireless network. The number of vehicles equipped with GPS devices continues to grow, but the accuracy of GPS devices are not always satisfactory. This paper looks at ways of using VANETs to improve the accuracy of the location estimates provided by GPS devices. The algorithm Location Improvement with Cluster Analysis (LICA) presented in this paper achieves this and can also be implemented in Wireless Sensor Networks (WSN) where some, if not all, nodes are equipped with GPS devices. Each node measures the distance to their neighbouring nodes. The combination of distance and the other nodes' estimated positions is used to calculate a position for a node. The initial estimated position and measured distances are all assumed to be inaccurate. It is shown that LICA can improve the accuracy of location estimates with certain levels of noise and corrupt data present in the system.