Cooperative Communication of UAV to Perform Multi-task Using Nature Inspired Techniques
Data(s) |
2013
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Resumo |
In this paper, the approach for assigning cooperative communication of Uninhabited Aerial Vehicles (UAV) to perform multiple tasks on multiple targets is posed as a combinatorial optimization problem. The multiple task such as classification, attack and verification of target using UAV is employed using nature inspired techniques such as Artificial Immune System (AIS), Particle Swarm Optimization (PSO) and Virtual Bee Algorithm (VBA). The nature inspired techniques have an advantage over classical combinatorial optimization methods like prohibitive computational complexity to solve this NP-hard problem. Using the algorithms we find the best sequence in which to attack and destroy the targets while minimizing the total distance traveled or the maximum distance traveled by an UAV. The performance analysis of the UAV to classify, attack and verify the target is evaluated using AIS, PSO and VBA. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/49005/1/ieee_sym_com_int_sec_def_app_45_2013.pdf Senthilnath, J and Omkar, SN and Mani, V and Katti, Anurag R (2013) Cooperative Communication of UAV to Perform Multi-task Using Nature Inspired Techniques. In: IEEE Symposium on Computational Intelligence for Security and Defense Applications, APR 16-19, 2013, SINGAPORE, pp. 45-50. |
Publicador |
IEEE |
Relação |
http://dx.doi.org/10.1109/CISDA.2013.6595426 http://eprints.iisc.ernet.in/49005/ |
Palavras-Chave | #Aerospace Engineering (Formerly, Aeronautical Engineering) |
Tipo |
Conference Proceedings NonPeerReviewed |