Communication Control in Multiple UAV Applications
In this paper, communication control algorithms are proposed for Unmanned air Vehicles (UAVs) operating in absence of central communication systems. Such situations arise in many scenarios. Operating over enemy territory or uneven terrain are a few examples. The communication network formed by these UAVs belongs to a larger class called ad-hoc networks. These networks are dynamic in nature and hence conventional algorithms of routing information cannot be applied. Most of the algorithms used are heuristics based and in such algorithms, stability and convergence cannot be established. A Grossberg neural network (GNN) based approach is proposed to obtain routing of data packets. When there are many connections in a network or all nodes are not equally capable, clustering of several nodes into one group is done. By clustering, number of connections and data loss can be reduced. GNN based algorithms are implemented in a decentralized manner and have very low computation and storage requirements. GNNs are dynamic in nature and hence are well suited for applications in ad-hoc networks. Any change in the ad-hoc network is absorbed by the GNN. The proposed algorithms are tested on a simple network simulator developed for this purpose. Satisfying results show the potential of the approach.
V. Yadav and S. N. Balakrishnan, "Communication Control in Multiple UAV Applications," AIAA Guidance, Navigation, and Control Conference Proceedings, American Institute of Aeronautics and Astronautics (AIAA), Jan 2006.
Mechanical and Aerospace Engineering
Keywords and Phrases
Aerospace Engineering; Communication Networks; Communication Systems; Computer Simulation; Control Theory; Neural Networks; Unmanned Aerial Vehicles
Article - Conference proceedings
© 2006 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
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