Title :
Mobile Adaptive Networks
Author :
Tu, Sheng-Yuan ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
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.
Keywords :
mean square error methods; mobile radio; adaptive diffusion techniques; adaptive entities; cognitive abilities; collision avoidance; harmonious motion; localized processing; mean-square performance analysis; mobile adaptive networks; self-organization process; Adaptation model; Adaptive systems; Estimation; Mobile communication; Mobile computing; Noise; Real time systems; Adaptive networks; cognitive networks; diffusion adaptation; mobility; self-organization;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2011.2125943
