Cross-Entropy as a Metric for the Robustness of Drone Swarms

Due to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives. Such algorithms vary in their quality such that their comparison requires a metric that would allow for their correct assessment. The nov...

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Main Authors: Piotr Cofta, Damian Ledziński, Sandra Śmigiel, Marta Gackowska
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/6/597
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author Piotr Cofta
Damian Ledziński
Sandra Śmigiel
Marta Gackowska
author_facet Piotr Cofta
Damian Ledziński
Sandra Śmigiel
Marta Gackowska
author_sort Piotr Cofta
collection DOAJ
description Due to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives. Such algorithms vary in their quality such that their comparison requires a metric that would allow for their correct assessment. The novelty of this paper lies in analysing, defining and applying the construct of cross-entropy, known from thermodynamics and information theory, to swarms. It can be used as a synthetic measure of the robustness of algorithms that can control swarms in the case of obstacles and unforeseen problems. Based on this, robustness may be an important aspect of the overall quality. This paper presents the necessary formalisation and applies it to a few examples, based on generalised unexpected behaviour and the results of collision avoidance algorithms used to react to obstacles.
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spelling doaj.art-7833c6f57a0a43e7ab79eca003dc68362023-11-20T01:57:53ZengMDPI AGEntropy1099-43002020-05-0122659710.3390/e22060597Cross-Entropy as a Metric for the Robustness of Drone SwarmsPiotr Cofta0Damian Ledziński1Sandra Śmigiel2Marta Gackowska3Faculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, PolandFaculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, PolandFaculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, PolandFaculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, PolandDue to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives. Such algorithms vary in their quality such that their comparison requires a metric that would allow for their correct assessment. The novelty of this paper lies in analysing, defining and applying the construct of cross-entropy, known from thermodynamics and information theory, to swarms. It can be used as a synthetic measure of the robustness of algorithms that can control swarms in the case of obstacles and unforeseen problems. Based on this, robustness may be an important aspect of the overall quality. This paper presents the necessary formalisation and applies it to a few examples, based on generalised unexpected behaviour and the results of collision avoidance algorithms used to react to obstacles.https://www.mdpi.com/1099-4300/22/6/597entropycross-entropydronesswarmsrobustness
spellingShingle Piotr Cofta
Damian Ledziński
Sandra Śmigiel
Marta Gackowska
Cross-Entropy as a Metric for the Robustness of Drone Swarms
Entropy
entropy
cross-entropy
drones
swarms
robustness
title Cross-Entropy as a Metric for the Robustness of Drone Swarms
title_full Cross-Entropy as a Metric for the Robustness of Drone Swarms
title_fullStr Cross-Entropy as a Metric for the Robustness of Drone Swarms
title_full_unstemmed Cross-Entropy as a Metric for the Robustness of Drone Swarms
title_short Cross-Entropy as a Metric for the Robustness of Drone Swarms
title_sort cross entropy as a metric for the robustness of drone swarms
topic entropy
cross-entropy
drones
swarms
robustness
url https://www.mdpi.com/1099-4300/22/6/597
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