Collision-free network exploration
- Jurek Czyzowicz,
- Dariusz Dereniowski,
- Leszek Gasieniec,
- Ralf Klasing,
- Adrian Kosowski,
- Dominik Paja̧k
- Université du Québec en Outaouais,
- Gdańsk University of Technology,
- University of Liverpool,
- Université de Bordeaux
Related Event
Title
Event type
ConferenceDate
03/31/2014 - 04/04/2014Location
Abstract
A set of mobile agents is placed at different nodes of a n-node network. The agents synchronously move along the network edges in a collision-free way, i.e., in no round may two agents occupy the same node. In each round, an agent may choose to stay at its currently occupied node or to move to one of its neighbors. An agent has no knowledge of the number and initial positions of other agents. We are looking for the shortest possible time required to complete the collision-free network exploration, i.e., to reach a configuration in which each agent is guaranteed to have visited all network nodes and has returned to its starting location. We first consider the scenario when each mobile agent knows the map of the network, as well as its own initial position. We establish a connection between the number of rounds required for collision-free exploration and the degree of the minimum-degree spanning tree of the graph. We provide tight (up to a constant factor) lower and upper bounds on the collision-free exploration time in general graphs, and the exact value of this parameter for trees. For our second scenario, in which the network is unknown to the agents, we propose collision-free exploration strategies running in O(n 2) rounds for tree networks and in O(n 5logn) rounds for general networks.
Publication Information
Output type
Host publication Subtitle
Theoretical Informatics - 11th Latin American Symposium, ProceedingsOriginal language
English (US)Pages from-to (Number of pages)
Pages 342-354 (13 pages)Publication milestones
- Published - 2014
Publication status
Publisher
Springer VerlagPublication series
- Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print): 0302-9743
ISSN (Electronic): 1611-3349
Volume: 8392 LNCS
ISBN (Print)
9783642544224Publication IDs
- Scopus: 84899956474
