DocumentCode :
2990242
Title :
Cooperative communication of UAV to perform multi-task using nature inspired techniques
Author :
Senthilnath, J. ; Omkar, S.N. ; Mani, V. ; Katti, Anurag R.
Author_Institution :
Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
45
Lastpage :
50
Abstract :
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.
Keywords :
artificial immune systems; autonomous aerial vehicles; combinatorial mathematics; computational complexity; particle swarm optimisation; AIS; NP-hard problem; PSO; UAV; VBA; artificial immune system; combinatorial optimization problem; cooperative communication; multitasking; nature inspired techniques; particle swarm optimization; prohibitive computational complexity; target attack; target classification; target verification; uninhabited aerial vehicles; virtual bee algorithm; Computational intelligence; Decision support systems; Handheld computers; Security; artificial immune system; multiple tasks; particle swarm optimization; virtual bee colony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Security and Defense Applications (CISDA), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CISDA.2013.6595426
Filename :
6595426
Link To Document :
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