On the power of bounded asynchrony: convergence by autonomous robots with limited visibility

A distributed algorithm A solves the Point Convergence task if an arbitrarily large collection of entities, starting in an arbitrary configuration, move under the control of A to eventually form and thereafter maintain configurations in which the separation between all entities is arbitrarily small....

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Vydáno v:Distributed computing Ročník 37; číslo 3; s. 279 - 308
Hlavní autoři: Kirkpatrick, David, Kostitsyna, Irina, Navarra, Alfredo, Prencipe, Giuseppe, Santoro, Nicola
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024
Springer Nature B.V
Témata:
Algorithms
Computer Communication Networks
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Configurations
Constraints
Convergence
Euclidean geometry
Power
Robot control
Robots
Scheduling
Software Engineering/Programming and Operating Systems
Theory of Computation
Visibility
Mobile robots
Asynchronous computation
Distributed geometric algorithms
ISSN:0178-2770, 1432-0452
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Shrnutí:A distributed algorithm A solves the Point Convergence task if an arbitrarily large collection of entities, starting in an arbitrary configuration, move under the control of A to eventually form and thereafter maintain configurations in which the separation between all entities is arbitrarily small. This fundamental task in the standard OBLOT model of autonomous mobile entities has been previously studied in a variety of settings, including full visibility, exact measurements (including distances and angles), and synchronous activation of entities. Our study concerns the minimal assumptions under which entities, moving asynchronously with limited and unknown visibility range and subject to limited imprecision in measurements, can be guaranteed to converge in this way. We present an algorithm operating under these constraints that solves Point Convergence , for entities moving in two or three dimensional space, with any bounded degree of asynchrony. We also prove that under similar realistic constraints, but unbounded asynchrony, Point Convergence in the plane is not possible in general, contingent on the natural assumption that algorithms maintain the (visible) connectivity among entities present in the initial configuration. This variant, that we call Cohesive Convergence , serves to distinguish the power of bounded and unbounded asynchrony in the control of autonomous mobile entities, settling a long-standing question whether in the Euclidean plane synchronously scheduled entities are more powerful than asynchronously scheduled entities.
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ISSN:0178-2770
1432-0452
DOI:10.1007/s00446-024-00463-7