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Intermittent Information-Driven Multi-Agent Area-Restricted Search

The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance u...

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Detalles Bibliográficos
Autores principales: Ristic, Branko, Skvortsov, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517170/
https://www.ncbi.nlm.nih.gov/pubmed/33286406
http://dx.doi.org/10.3390/e22060635
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author Ristic, Branko
Skvortsov, Alex
author_facet Ristic, Branko
Skvortsov, Alex
author_sort Ristic, Branko
collection PubMed
description The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance using a swarm of amphibious drones equipped with active sonars. The paper develops an intermittent information-driven search strategy, which alternates between two phases: the fast and non-receptive displacement phase (called the ballistic phase) with a slow displacement and sensing phase (called the diffusive phase). The proposed multi-agent search strategy is carried out in a decentralised manner, which means that all computations (estimation and motion control) are done locally. Coordination of agents is achieved by exchanging the data with the neighbours only, in a manner which does not require global knowledge of the communication network topology.
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spelling pubmed-75171702020-11-09 Intermittent Information-Driven Multi-Agent Area-Restricted Search Ristic, Branko Skvortsov, Alex Entropy (Basel) Article The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance using a swarm of amphibious drones equipped with active sonars. The paper develops an intermittent information-driven search strategy, which alternates between two phases: the fast and non-receptive displacement phase (called the ballistic phase) with a slow displacement and sensing phase (called the diffusive phase). The proposed multi-agent search strategy is carried out in a decentralised manner, which means that all computations (estimation and motion control) are done locally. Coordination of agents is achieved by exchanging the data with the neighbours only, in a manner which does not require global knowledge of the communication network topology. MDPI 2020-06-08 /pmc/articles/PMC7517170/ /pubmed/33286406 http://dx.doi.org/10.3390/e22060635 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ristic, Branko
Skvortsov, Alex
Intermittent Information-Driven Multi-Agent Area-Restricted Search
title Intermittent Information-Driven Multi-Agent Area-Restricted Search
title_full Intermittent Information-Driven Multi-Agent Area-Restricted Search
title_fullStr Intermittent Information-Driven Multi-Agent Area-Restricted Search
title_full_unstemmed Intermittent Information-Driven Multi-Agent Area-Restricted Search
title_short Intermittent Information-Driven Multi-Agent Area-Restricted Search
title_sort intermittent information-driven multi-agent area-restricted search
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517170/
https://www.ncbi.nlm.nih.gov/pubmed/33286406
http://dx.doi.org/10.3390/e22060635
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