ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Cooperative Communication of UAV to Perform Multi-task Using Nature Inspired Techniques

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.

[img] PDF
ieee_sym_com_int_sec_def_app_45_2013.pdf - Published Version
Restricted to Registered users only

Download (168kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/CISDA.2013.6595426


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.

Item Type: Conference Proceedings
Additional Information: copyright for this article belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: multiple tasks; artificial immune system; particle swarm optimization; virtual bee colony
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 27 May 2014 07:35
Last Modified: 27 May 2014 07:35
URI: http://eprints.iisc.ac.in/id/eprint/49005

Actions (login required)

View Item View Item