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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.8 P.658-666


Blinking adaptation for synchronizing a mobile agent network

Author(s):  Huan Shi, Hua-ping Dai, You-xian Sun

Affiliation(s):  State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   hshi@iipc.zju.edu.cn, hpdai@iipc.zju.edu.cn

Key Words:  Mobile agents, Blinking adaptation, Coupled-oscillator networks, Synchronization

Huan Shi, Hua-ping Dai, You-xian Sun. Blinking adaptation for synchronizing a mobile agent network[J]. Journal of Zhejiang University Science C, 2011, 12(8): 658-666.

@article{title="Blinking adaptation for synchronizing a mobile agent network",
author="Huan Shi, Hua-ping Dai, You-xian Sun",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Blinking adaptation for synchronizing a mobile agent network
%A Huan Shi
%A Hua-ping Dai
%A You-xian Sun
%J Journal of Zhejiang University SCIENCE C
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%N 8
%P 658-666
%@ 1869-1951
%D 2011
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000338

T1 - Blinking adaptation for synchronizing a mobile agent network
A1 - Huan Shi
A1 - Hua-ping Dai
A1 - You-xian Sun
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 8
SP - 658
EP - 666
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000338

We investigate the issue of synchronizing a blinking coupling mobile agent network through a blinking adaptation strategy, where each agent with blinking wave emission behavior not only adjusts its blinking period according to the local property of its neighbors, but also coordinates its blinking phase with those of neighboring agents. In leading the agents to blink orderly with a blinking period commensurate with the characteristic time of the dynamical oscillator, the presented blinking adaptation strategy works effectively in guaranteeing the synchronous motion of the considered network when the power density is large. In addition, the influence of the controlling parameter and moving velocity on network evolution is studied by assessing the convergence time.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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