Synchronization in a power-driven moving agent network
Huan Shi,
Lei Wang,
Hua-ping Dai and
You-xian Sun
Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 16, 3094-3100
Abstract:
Motivated by the fact that couplings between individual units of many real-world complex systems are relevant to energy, we propose a power-driven moving agent network model as a simple representation. The presented network exhibits a directed and time-varying topological structure, where each agent associated with a chaotic oscillator is depicted as a random walker in a planar space, and interactions among agents are established via communication by assigning different emission powers to them. To investigate the effect of power distribution, synchronization is further explored for the power-driven moving agent network. Under the constraint of fast-switching, we theoretically show that synchronization of the agent network is determined by the power density which is independent of both the power distribution and the size of network. Several numerical simulations are given to validate the acquired results.
Keywords: Moving agents; Power density; Complex networks; Fast-switching synchronization (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437110002876
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:389:y:2010:i:16:p:3094-3100
DOI: 10.1016/j.physa.2010.03.042
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().