Distributed Field Estimation Algorithms in Vehicular Sensor Networks

by Dietmar Schabus, Thomas Zemen, Michael Pucher
Abstract:
This paper deals with cooperative reconstruction of environmental variables (e.g., temperature) along a road by a vehicular sensor network using wireless communication. Vehicles take repeated measurements and approximate the environment using a set of basis functions. We investigate the applicability and performance of popular averaging techniques (gossiping and consensus propagation) on the basis coefficients, and propose a simpler approach to avoid divergence problems. We have developed a graphical simulation environment to study the behavior of different algorithms in this scenario and we show simulation results which support our simplified approach.
Reference:
Dietmar Schabus, Thomas Zemen, Michael Pucher, “Distributed Field Estimation Algorithms in Vehicular Sensor Networks”, In Proceedings of the 73rd IEEE Vehicular Technology Conference (VTC Spring), Budapest, Hungary, pp. 1-5, 2011.
Bibtex Entry:
@InProceedings{Schabus2011a,
  Title                    = {Distributed Field Estimation Algorithms in Vehicular Sensor Networks},
  Author                   = {Schabus, Dietmar and Zemen, Thomas and Pucher, Michael},
  Booktitle                = {Proceedings of the 73rd IEEE Vehicular Technology Conference (VTC Spring)},
  Year                     = {2011},

  Address                  = {Budapest, Hungary},
  Month                    = may,
  Pages                    = {1-5},

  Abstract                 = {This paper deals with cooperative reconstruction of environmental variables (e.g., temperature) along a road by a vehicular sensor network using wireless communication. Vehicles take repeated measurements and approximate the environment using a set of basis functions. We investigate the applicability and performance of popular averaging techniques (gossiping and consensus propagation) on the basis coefficients, and propose a simpler approach to avoid divergence problems. We have developed a graphical simulation environment to study the behavior of different algorithms in this scenario and we show simulation results which support our simplified approach.},
  Doi                      = {10.1109/VETECS.2011.5956190},
  ISSN                     = {1550-2252},
}