Article (Scientific journals)
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques
Stolfi Rosso, Daniel; Brust, Matthias R.; Danoy, Grégoire et al.
2020In Sensors, 20 (9), p. 2566
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Stolfi Rosso, Daniel  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Brust, Matthias R. ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Danoy, Grégoire  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques
Publication date :
2020
Journal title :
Sensors
Volume :
20
Issue :
9
Pages :
2566
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 07 September 2020

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