Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00378601" target="_blank" >RIV/68407700:21240/25:00378601 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v39i22.34483" target="_blank" >https://doi.org/10.1609/aaai.v39i22.34483</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v39i22.34483" target="_blank" >10.1609/aaai.v39i22.34483</a>
Alternative languages
Result language
angličtina
Original language name
Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures
Original language description
Consider the scenario where multiple agents have to move in an optimal way through a network, each one towards their ending position while avoiding collisions. By optimal, we mean as fast as possible, which is evaluated by a measure known as the makespan of the proposed solution. This is the setting studied in the Multiagent Path Finding problem. In this work, we additionally provide the agents with a way to communicate with each other. Due to size constraints, it is reasonable to assume that the range of communication of each agent will be limited. What should be the trajectories of the agents to, additionally, maintain a backbone of communication? In this work, we study the Multiagent Path Finding with Communication Constraint problem under the parameterized complexity framework. Our main contribution is three exact algorithms that are efficient when considering particular structures for the input network. We provide such algorithms for the case when the communication range and the number of agents (the makespan resp.) are provided in the input and the network has a tree topology, or bounded maximum degree (has a tree-like topology, i.e., bounded treewidth resp.). We complement these results by showing that it is highly unlikely to construct efficient algorithms when considering the number of agents as part of the input, even if the makespan is 3 and the communication range is 1.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 39th AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-897-8
ISSN
2159-5399
e-ISSN
2374-3468
Number of pages
9
Pages from-to
23177-23185
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Philadelphia
Event date
Feb 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001477505600007