Dispersion of mobile robots on graphs in the asynchronous model

The dispersion problem on graphs requires k robots placed arbitrarily at the n nodes of an anonymous graph, where k ≤ n , to coordinate with each other to reach a final configuration in which each robot is at a distinct node of the graph. The dispersion problem is important due to its relationship to graph exploration by mobile robots, scattering on a graph, and load balancing on a graph. Prior work on solving dispersion assumed the synchronous model. We propose four algorithms to solve dispersion on graphs in the asynchronous model. The first two algorithms require O ( k log ⁡ Δ ) bits at each robot and O ( min ⁡ ( m , k Δ ) ) steps running time, where m is the number of edges and Δ is the maximum degree of the graph. The algorithms differ in what, where, and how data structures are maintained. The third algorithm has a space usage of O ( max ⁡ ( min ⁡ ( D , k ) ⋅ log ⁡ Δ , log ⁡ D ) ) bits at each robot and uses O ( Δ min ⁡ ( D , k ) + 1 ) steps, where D is the graph diameter. The fourth algorithm has a space usage of O ( max ⁡ ( log ⁡ k , log ⁡ Δ ) ) bits at each robot and uses O ( min ⁡ ( m , k Δ ) ⋅ k ) steps. In contrast with existing works which all assume the synchronous model, these are the first algorithms to solve dispersion in the weaker but more realistic asynchronous model.

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Publication Details

Journal
Theoretical Computer Science
Published
2025-04-23
DOI
https://doi.org/10.1016/j.tcs.2025.115272
Citations
2
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
2.97
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article

Dispersion of mobile robots on graphs in the asynchronous model

Ajay D. Kshemkalyani
2 citations
Theoretical Computer Science
Optimization and Search Problems
2.97
article

Dispersion of mobile robots on graphs in the asynchronous model

Ajay D. Kshemkalyani
article en
2 citations

Abstract

The dispersion problem on graphs requires k robots placed arbitrarily at the n nodes of an anonymous graph, where k ≤ n , to coordinate with each other to reach a final configuration in which each robot is at a distinct node of the graph. The dispersion problem is important due to its relationship to graph exploration by mobile robots, scattering on a graph, and load balancing on a graph. Prior work on solving dispersion assumed the synchronous model. We propose four algorithms to solve dispersion on graphs in the asynchronous model. The first two algorithms require O ( k log ⁡ Δ ) bits at each robot and O ( min ⁡ ( m , k Δ ) ) steps running time, where m is the number of edges and Δ is the maximum degree of the graph. The algorithms differ in what, where, and how data structures are maintained. The third algorithm has a space usage of O ( max ⁡ ( min ⁡ ( D , k ) ⋅ log ⁡ Δ , log ⁡ D ) ) bits at each robot and uses O ( Δ min ⁡ ( D , k ) + 1 ) steps, where D is the graph diameter. The fourth algorithm has a space usage of O ( max ⁡ ( log ⁡ k , log ⁡ Δ ) ) bits at each robot and uses O ( min ⁡ ( m , k Δ ) ⋅ k ) steps. In contrast with existing works which all assume the synchronous model, these are the first algorithms to solve dispersion in the weaker but more realistic asynchronous model.

Theoretical Computer ScienceVol. 1044
University of Illinois Chicago (US)
Openalex Percentile: Top 9%
Optimization and Search Problems
2.97
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