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
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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
ISSN :
1424-8220
eISSN :
1424-3210
Volume :
20
Issue :
9
Pages :
2566
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 07 September 2020

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