Modelling Oil-Spill Detection with Swarm Drones
Nowadays, swarm robotics research is having a great increase due to the benefits derived from its use, such as robustness, parallelism, and flexibility. Unlike distributed robotic systems, swarm robotics emphasizes a large number of robots, and promotes scalability. Among the multiple applications...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/949407 |
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| author | F. Aznar M. Sempere M. Pujol R. Rizo M. J. Pujol |
| author_facet | F. Aznar M. Sempere M. Pujol R. Rizo M. J. Pujol |
| author_sort | F. Aznar |
| collection | DOAJ |
| description | Nowadays, swarm robotics research is having a great increase due to the benefits derived from its use, such as robustness, parallelism, and
flexibility. Unlike distributed robotic systems, swarm robotics emphasizes a large number of robots, and promotes scalability. Among the multiple applications of such systems we could find are exploring unstructured environments, resource monitoring, or distributed sensing. Two of these applications, monitoring, and perimeter/area detection of a given resource, have several ecological uses. One of them is the detection and monitoring of pollutants to delimit their perimeter and area accurately. Maritime activity has been increasing gradually in recent years. Many ships carry products such as oil that can adversely affect the environment. Such products can produce high levels of pollution in case of being spilled into sea. In this paper we will present a distributed system which monitors, covers, and surrounds a resource by using a swarm of homogeneous low cost drones. These drones only use their local sensory information and do not require any direct communication between them. Taking into account the properties of this kind of oil spills we will present a microscopic model for a swarm of drones, capable of monitoring these spills properly. Furthermore, we will analyse the proper macroscopic operation of the swarm. The analytical and experimental results presented here show the proper evolution of our system. |
| format | Article |
| id | doaj-art-75b2d42928d4482bbd7e4802b0e0fad3 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-75b2d42928d4482bbd7e4802b0e0fad32025-02-03T01:26:13ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/949407949407Modelling Oil-Spill Detection with Swarm DronesF. Aznar0M. Sempere1M. Pujol2R. Rizo3M. J. Pujol4Department of Computer Science and Artificial Intelligence, University of Alicante, 03090 Alicante, SpainDepartment of Computer Science and Artificial Intelligence, University of Alicante, 03090 Alicante, SpainDepartment of Computer Science and Artificial Intelligence, University of Alicante, 03090 Alicante, SpainDepartment of Computer Science and Artificial Intelligence, University of Alicante, 03090 Alicante, SpainDepartment of Applied Mathematics, University of Alicante, 03090 Alicante, SpainNowadays, swarm robotics research is having a great increase due to the benefits derived from its use, such as robustness, parallelism, and flexibility. Unlike distributed robotic systems, swarm robotics emphasizes a large number of robots, and promotes scalability. Among the multiple applications of such systems we could find are exploring unstructured environments, resource monitoring, or distributed sensing. Two of these applications, monitoring, and perimeter/area detection of a given resource, have several ecological uses. One of them is the detection and monitoring of pollutants to delimit their perimeter and area accurately. Maritime activity has been increasing gradually in recent years. Many ships carry products such as oil that can adversely affect the environment. Such products can produce high levels of pollution in case of being spilled into sea. In this paper we will present a distributed system which monitors, covers, and surrounds a resource by using a swarm of homogeneous low cost drones. These drones only use their local sensory information and do not require any direct communication between them. Taking into account the properties of this kind of oil spills we will present a microscopic model for a swarm of drones, capable of monitoring these spills properly. Furthermore, we will analyse the proper macroscopic operation of the swarm. The analytical and experimental results presented here show the proper evolution of our system.http://dx.doi.org/10.1155/2014/949407 |
| spellingShingle | F. Aznar M. Sempere M. Pujol R. Rizo M. J. Pujol Modelling Oil-Spill Detection with Swarm Drones Abstract and Applied Analysis |
| title | Modelling Oil-Spill Detection with Swarm Drones |
| title_full | Modelling Oil-Spill Detection with Swarm Drones |
| title_fullStr | Modelling Oil-Spill Detection with Swarm Drones |
| title_full_unstemmed | Modelling Oil-Spill Detection with Swarm Drones |
| title_short | Modelling Oil-Spill Detection with Swarm Drones |
| title_sort | modelling oil spill detection with swarm drones |
| url | http://dx.doi.org/10.1155/2014/949407 |
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