文献类型：期刊文献

英文题名：Topology evolution model for wireless multi-hop network based on socially inspired mechanism

作者：Luo, Xiaojuan[1];Hu, Yuhen[2];Zhu, Yu[1]

机构：[1]E China Univ Sci & Technol, Dept Informat Engn, Shanghai 200237, Peoples R China;[2]Univ Wisconsin, Dept Elect & Comp Sci, Madison, WI 53706 USA

年份：2014

卷号：416

起止页码：639

外文期刊名：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

收录：;EI(收录号：20144100088792);WOS:【SCI-EXPANDED(收录号:WOS:000345725300061)】；

语种：英文

外文关键词：Wireless multi-hop network; Complex network; Local-world; Robustness

摘要：In this paper, topology evolution problem is addressed for improving the network performance in wireless multi-hop networks. A novel topology model based on social inspired mechanism with energy-aware and local-world features is proposed to handle the time-varying nature of wireless multi-hop network. A series of theoretical analysis and numerical simulation to the social inspired evolution network are conducted. Firstly, the degree distribution of this social inspired model represents a transition between exponential to power-law scaling with increasing the local world scale. Secondly, the clustering coefficient and the average path length decrease sharply as generally local-world scale increases a little. Finally, we found that the robustness and fragility of the proposed network model against random failures and attacks also display a transition between the random and the scale-free ones when the scale of local-world increasing. This local-world social inspired network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. (C) 2014 Elsevier B.V. All rights reserved.