%0 Conference Paper %1 Lochert:2003 %A Lochert, C. %A Hartenstein, H. %A Tian, J. %A Fussler, H. %A Hermann, D. %A Mauve, M. %B Intelligent Vehicles Symposium, 2003. Proceedings. IEEE %D 2003 %K FleetNet VANETs car-to-car communication-protocols %P 156- 161 %R 10.1109/IVS.2003.1212901 %T A routing strategy for vehicular ad hoc networks in city environments %U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1212901 %X Routing of data in a vehicular ad hoc network is a challenging task due to the high dynamics of such a network. Recently, it was shown for the case of highway traffic that position-based routing approaches can very well deal with the high mobility of network nodes. However, baseline position-based routing has difficulties to handle two-dimensional scenarios with obstacles (buildings) and voids as it is the case for city scenarios. In this paper we analyze a position-based routing approach that makes use of the navigational systems of vehicles. By means of simulation we compare this approach with non-position-based ad hoc routing strategies (dynamic source routing and ad-hoc on-demand distance vector routing). The simulation makes use of highly realistic vehicle movement patterns derived from Daimler-Chrysler's Videlio traffic simulator. While DSR's performance is limited due to problems with scalability and handling mobility, both AODV and the position-based approach show good performances with the position-based approach outperforming AODV. %@ 0-7803-7848-2

@inproceedings{Lochert:2003, abstract = {Routing of data in a vehicular ad hoc network is a challenging task due to the high dynamics of such a network. Recently, it was shown for the case of highway traffic that position-based routing approaches can very well deal with the high mobility of network nodes. However, baseline position-based routing has difficulties to handle two-dimensional scenarios with obstacles (buildings) and voids as it is the case for city scenarios. In this paper we analyze a position-based routing approach that makes use of the navigational systems of vehicles. By means of simulation we compare this approach with non-position-based ad hoc routing strategies (dynamic source routing and ad-hoc on-demand distance vector routing). The simulation makes use of highly realistic vehicle movement patterns derived from Daimler-Chrysler's Videlio traffic simulator. While DSR's performance is limited due to problems with scalability and handling mobility, both AODV and the position-based approach show good performances with the position-based approach outperforming AODV.}, added-at = {2008-01-31T16:12:41.000+0100}, author = {Lochert, C. and Hartenstein, H. and Tian, J. and Fussler, H. and Hermann, D. and Mauve, M.}, biburl = {https://www.bibsonomy.org/bibtex/27216e4aea2b36c53ddbd52f012ed31fd/viv}, booktitle = {Intelligent Vehicles Symposium, 2003. Proceedings. IEEE}, description = {Welcome to IEEE Xplore 2.0: A routing strategy for vehicular ad hoc networks in city environments}, doi = {10.1109/IVS.2003.1212901}, interhash = {631ef459b8978c00659e702febfc41e4}, intrahash = {7216e4aea2b36c53ddbd52f012ed31fd}, isbn = {0-7803-7848-2}, keywords = {FleetNet VANETs car-to-car communication-protocols}, pages = {156- 161}, timestamp = {2008-02-04T12:54:26.000+0100}, title = {A routing strategy for vehicular ad hoc networks in city environments}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1212901}, year = 2003 }