Abstract
Shortest-path problems on graphs have been studied in depth in Artificial Intelligence and Computer Science. Search on dynamic graphs, i.e. graphs that can change their layout while searching, receives plenty of attention today – mostly in the planning domain. Approaches often assume global knowledge on the dynamic graph, i.e. that topology and dynamic operations are known to the algorithm. There exist use-cases however, where this assumption cannot be made. In vehicular ad-hoc networks, for example, a vehicle is only able to recognize the topology of the graph within wireless network transmission range. In this paper, we propose a combined uniform and heuristic search algorithm, which maintains shortest paths in highly dynamic graphs under the premise that graph operations are not globally known.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Dijkstra, E.W.: A note on two problems in connection with graphs. Numerische Mathematik 1, 269–271 (1959)
Nannicini, G., Liberti, L.: Shortest paths on dynamic graphs (2008)
Koenig, S., Likhachev, M., Furcy, D.: Lifelong planning A*. Artif. Intell. 155, 93–146 (2004)
Misra, S., Oommen, B.J.: Stochastic Learning Automata-Based Dynamic Algorithms for the Single Source Shortest Path Problem. In: Orchard, B., Yang, C., Ali, M. (eds.) IEA/AIE 2004. LNCS (LNAI), vol. 3029, pp. 239–248. Springer, Heidelberg (2004)
Cicerone, S., Stefano, G.D., Frigioni, D., Nanni, U.: A fully dynamic algorithm for distributed shortest paths. Theoretical Computer Science 297, 1–3 (2003)
Demetrescu, C., Italiano, G.F.: A new approach to dynamic all pairs shortest paths. In: Proceedings of the Thirty-fifth Annual ACM Symposium on Theory of Computing, STOC 2003, pp. 159–166. ACM, New York (2003)
Frigioni, D., Spaccamela, A.M., Nanni, U.: Fully dynamic algorithms for maintaining shortest path trees. Algorithms 34, 251–281 (2000)
Seet, B.-C., Liu, G., Lee, B.-S., Foh, C.-H., Wong, K.-J., Lee, K.-K.: A-STAR: A Mobile Ad Hoc Routing Strategy for Metropolis Vehicular Communications. In: Mitrou, N.M., Kontovasilis, K., Rouskas, G.N., Iliadis, I., Merakos, L. (eds.) NETWORKING 2004. LNCS, vol. 3042, pp. 989–999. Springer, Heidelberg (2004)
Granelli, F., Boato, G., Kliazovich, D., Vernazza, G.: Enhanced gpsr routing in multi-hop vehicular communications through movement awareness. IEEE Communications Letters 11, 781–783 (2007)
Naumann, N., Schiinemann, B., Radusch, I.: Vsimrti - simulation runtime infrastructure for v2x communication scenarios. In: Proceedings of the 16th World Congress and Exhibition on Intelligent Transport Systems and Services (2009)
Barr, R., Haas, Z.J., van Renesse, R.: Jist: An efficient approach to simulation using virtual machines. Software Practice & Experience 35, 539–576 (2005)
Krajzewicz, D., Hertkorn, G., Rössel, C., Wagner, P.: Sumo (simulation of urban mobility); an open-source traffic simulation. In: Proceedings of the 4th Middle East Symposium on Simulation and Modelling (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Castronovo, S., Kunz, B., Müller, C. (2013). Combining Uniform and Heuristic Search: Solving DSSSP with Restricted Knowledge of Graph Topology. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2012. Communications in Computer and Information Science, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36907-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-36907-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36906-3
Online ISBN: 978-3-642-36907-0
eBook Packages: Computer ScienceComputer Science (R0)