IRIS Research product catalog (Sapienza University of Rome) · 2016 · 28 citations · 14 references
ComputingComputer ScienceAlgorithmsComplex SystemsDistributed SystemsDirected Acyclic GraphsDistributed AlgorithmsDistributed ComputingGraph AlgorithmsGraph TheoryNetwork ExplorationExplorationGraph Exploration
Almost all the vast literature on graph explorationassumes that the graph is static: its topology does not changeduring the exploration, except for occasional faults. To date, very little is known on exploration of dynamic graphs, wherethe topology is continously changing. The few studies havebeen limited to the centralized (or post-mortem) case, assumingcomplete a priori knowledge of the changes and the times of theiroccurrence, and have only considered fully synchronous systems. In this paper, we start the study of the decentralized (or live) exploration of dynamic graphs, i.e. when the agents operate inthe graph unaware of the location and timing of the changes. Weconsider dynamic rings under the standard 1-interval-connectedrestriction, and investigate the feasibility of their exploration, inboth the fully synchronous and semi-synchronous cases. Whenexploration is possible we examine at what cost, focusing on theminimum number of agents capable of exploring the ring. Weestablish several results highlighting the impact that anonymityand structural knowledge have on the feasibility and complexityof the problem.
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Distributed computation in dynamic networks
Fabian Kühn, Nancy Lynch, Rotem Oshman · 2010 · 392 citations · Full text
Xiaotie Deng, Christos H. Papadimitriou · Journal of Graph Theory · 1999 · 151 citations
Tree exploration with little memory
Krzysztof Diks, Pierre Fraigniaud, Evangelos Kranakis et al. · Journal of Algorithms · 2004 · 135 citations
Xiaotie Deng, Christos H. Papadimitriou · Journal of Graph Theory · 1999 · 117 citations