Human–machine network through bio‑inspired decentralized swarm intelligence and heterogeneous teaming in SAR operations

Simple item page
dc.contributor.authorEspinós Longa, Marc
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorInalhan, Gokhan
dc.date.accessioned2022-08-19T10:37:54Z
dc.date.available2022-08-19T10:37:54Z
dc.date.issued2022-08-06
dc.description.abstractDisaster management has always been a struggle due to unpredictable changing conditions and chaotic occurrences that require real-time adaption. Highly optimized missions and robust systems mitigate uncertainty effects and improve notoriously success rates. This paper brings a niching hybrid human–machine system that combines UAVs fast responsiveness with two robust, decentralized, and scalable bio-inspired techniques. Cloud-Sharing Network (CSN) and Pseudo-Central Network (PCN), based on Bacterial and Honeybee behaviors, are presented, and applied to Safe and Rescue (SAR) operations. A post-earthquake scenario is proposed, where a heterogeneous fleet of UAVs cooperates with human rescue teams to detect and locate victims distributed along the map. Monte Carlo simulations are carried out to test both approaches through state-of-the-art metrics. This paper introduces two hybrid and bio-inspired schemes to deal with critical scouting stages, poor communications environments and high uncertainly levels in disaster release operations. Role heterogeneity, path optimization and hive data-sharing structure give PCN an efficient performance as far as task allocation and communications are concerned. Cloud-sharing network gains strength when the allocated agents per victim and square meter is high, allowing fast data transmission. Potential applications of these algorithms are not only comprehended in SAR field, but also in surveillance, geophysical mapping, security and planetary exploration.en_UK
dc.identifier.citationEspinos Longa M, Tsourdos A, Inalhan G. (2022) Human–machine network through bio‑inspired decentralized swarm intelligence and heterogeneous teaming in SAR operations. Journal of Intelligent and Robotic Systems, Volume 105, August 2022, Article number 88en_UK
dc.identifier.issn0921-0296
dc.identifier.urihttps://doi.org/10.1007/s10846-022-01690-5
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18338
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectswarm intelligenceen_UK
dc.subjectdecentralized heterogeneous systemsen_UK
dc.subjectbio-inspirationen_UK
dc.subjectsafe and rescueen_UK
dc.subjectMonte Carlo simulationsen_UK
dc.subjecthuman-machine networken_UK
dc.titleHuman–machine network through bio‑inspired decentralized swarm intelligence and heterogeneous teaming in SAR operationsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Human–machine_network_through_bio‑inspired-2022.pdf
Size:
3.09 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)