Mobile Adaptive Networks

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Authors Sheng-Yuan Tu, A. Sayed
Journal/Conference Name I
Paper Category
Paper Abstract In this paper, we investigate the self-organization and cognitive abilities of adaptive networks when the individual agents are allowed to move in pursuit of a target. The nodes act as adaptive entities with localized processing and are able to respond to stimuli in real-time. We apply adaptive diffusion techniques to guide the self-organization process, including harmonious motion and collision avoidance. We also provide stability and mean-square performance analysis of the proposed strategies, together with computer simulation to illustrate results.
Date of publication 2011
Code Programming Language Matlab
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