Distributed Field Estimation Algorithms in Vehicular Sensor Networks
by Schabus, Dietmar, Zemen, Thomas and Pucher, Michael
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:
Distributed Field Estimation Algorithms in Vehicular Sensor Networks (Schabus, Dietmar, Zemen, Thomas and Pucher, Michael), In Proceedings of the 73rd IEEE Vehicular Technology Conference (VTC Spring), 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.}, Comment = {<br><a href="/phd/vtc2011spring/">Demonstration videos</a>}, Doi = {10.1109/VETECS.2011.5956190}, File = {/download/schabus_VTCSpring_2011}, ISSN = {1550-2252}, Owner = {schabus}, Timestamp = {2014.09.16} }