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More efficient periodic traversal in anonymous undirected graphs
- Source :
- Theoretical Computer Science, Theoretical Computer Science, Elsevier, 2012, 444, p. 60-76. ⟨10.1016/j.tcs.2012.01.035⟩, Proceedings of the 16th Colloquium on Structural Information and Communication Complexity, SIROCCO 2009, SIROCCO 2009, May 2009, Slovenia. pp.174--188, ⟨10.1007/978-3-642-11476-2_14⟩, Structural Information and Communication Complexity ISBN: 9783642114755, SIROCCO, Theoretical Computer Science, 2012, 444, p. 60-76. ⟨10.1016/j.tcs.2012.01.035⟩
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; We consider the problem of periodic graph exploration in which a mobile entity with constant memory, an agent, has to visit all n nodes of an input simple, connected, undirected graph in a periodic manner. Graphs are assumed to be anonymous, that is, nodes are unlabeled. While visiting a node, the agent may distinguish between the edges incident to it; for each node v, the endpoints of the edges incident to v are uniquely identified by different integer labels called port numbers. We are interested in algorithms for assigning the port numbers together with traversal algorithms for agents using these port numbers to obtain short traversal periods. Periodic graph exploration is unsolvable if the port numbers are set arbitrarily; see Budach (1978) [1]. However, surprisingly small periods can be achieved by carefully assigning the port numbers. Dobrev et al. (2005) [4] described an algorithm for assigning port numbers and an oblivious agent (i.e., an agent with no memory) using it, such that the agent explores any graph with n nodes within the period 10n. When the agent has access to a constant number of memory bits, the optimal length of the period was proved in Gąsieniec et al. (2008) [7] to be no more than 3.75n−2 (using a different assignment of the port numbers and a different traversal algorithm). In this paper, we improve both these bounds. More precisely, we show how to achieve a period length of at most for oblivious agents and a period length of at most 3.5n−2 for agents with constant memory. To obtain our results, we introduce a new, fast graph decomposition technique called a three-layer partition that may also be useful for solving other graph problems in the future. Finally, we present the first non-trivial lower bound, 2.8n−2, on the period length for the oblivious case.
- Subjects :
- FOS: Computer and information sciences
General Computer Science
Discrete Mathematics (cs.DM)
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Comparability graph
Constant-memory agent
0102 computer and information sciences
02 engineering and technology
Strength of a graph
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
01 natural sciences
Upper and lower bounds
law.invention
Theoretical Computer Science
Combinatorics
Graph exploration
law
Graph power
Line graph
Graph traversal
0202 electrical engineering, electronic engineering, information engineering
Algorithms and data structures
Oblivious agent
Undirected graph
Mathematics
Discrete mathematics
Mobile entity
Voltage graph
Three-layer partition
Butterfly graph
Periodic graph traversal
Tree traversal
010201 computation theory & mathematics
020201 artificial intelligence & image processing
Periodic graph (geometry)
[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Null graph
Span tree
Period length
Computer Science - Discrete Mathematics
Computer Science(all)
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-642-11475-5
- ISSN :
- 18792294 and 03043975
- ISBNs :
- 9783642114755
- Database :
- OpenAIRE
- Journal :
- Theoretical Computer Science, Theoretical Computer Science, Elsevier, 2012, 444, p. 60-76. ⟨10.1016/j.tcs.2012.01.035⟩, Proceedings of the 16th Colloquium on Structural Information and Communication Complexity, SIROCCO 2009, SIROCCO 2009, May 2009, Slovenia. pp.174--188, ⟨10.1007/978-3-642-11476-2_14⟩, Structural Information and Communication Complexity ISBN: 9783642114755, SIROCCO, Theoretical Computer Science, 2012, 444, p. 60-76. ⟨10.1016/j.tcs.2012.01.035⟩
- Accession number :
- edsair.doi.dedup.....0f7ab59084688f163b71d6fcb41a5495