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Graph Explorations with Mobile Agents

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Distributed Computing by Mobile Entities

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11340))

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Abstract

The basic primitive for a mobile agent is the ability to visit all the nodes of the graph in a systematic manner. This chapter considers the exploration of unknown graphs in full detail, for the specific mobile agent model considered in this book. The graph is considered to be finite, undirected and connected. Other than this fact, no prior knowledge of the graph is assumed. Several exploration techniques are introduced and explained for either a single agent, or multiple agents, exploring either labelled or unlabelled graphs. We focus on the efficiency of exploration and consider three different complexity measures, the time taken, the amount of memory used by the agents and the storage needed at each node of the graph. For exploration by multiple agents, we consider collaborative exploration by a team of colocated agents as well as distributed exploration by agents scattered in a graph. The concluding section presents some brief ideas and references on more advanced topics on graph exploration that are not covered in this chapter.

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Notes

  1. 1.

    Note that since this is not a proper port labelling, the algorithm should have a default action of traversing port number 0 whenever there is no edge with the required port number.

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Author information

Authors and Affiliations

  1. Aix-Marseille University, CNRS, LIS, Marseille, France

    Shantanu Das

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  1. Shantanu Das
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Correspondence to Shantanu Das .

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Editors and Affiliations

  1. University of Ottawa, Ottawa, ON, Canada

    Paola Flocchini

  2. University of Pisa, Pisa, Italy

    Giuseppe Prencipe

  3. Carleton University, Ottawa, ON, Canada

    Nicola Santoro

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Das, S. (2019). Graph Explorations with Mobile Agents. In: Flocchini, P., Prencipe, G., Santoro, N. (eds) Distributed Computing by Mobile Entities. Lecture Notes in Computer Science(), vol 11340. Springer, Cham. https://doi.org/10.1007/978-3-030-11072-7_16

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  • DOI: https://doi.org/10.1007/978-3-030-11072-7_16

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  • Online ISBN: 978-3-030-11072-7

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