Global forward-predicting dynamic routing for traffic concurrency space stereo multi-layer scale-free network  

Global forward-predicting dynamic routing for traffic concurrency space stereo multi-layer scale-free network

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作  者:解维浩 周斌 刘恩晓 卢为党 周婷 

机构地区:[1]Institute of Oceanographic Instrumentation,Shandong Academy of Science [2]Zhejiang University of Technology College of Information Engineering [3]Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences

出  处:《Chinese Physics B》2015年第9期603-610,共8页中国物理B(英文版)

基  金:Project supported by the Youth Science Funds of Shandong Academy of Sciences,China(Grant No.2014QN032)

摘  要:Many real communication networks, such as oceanic monitoring network and land environment observation network,can be described as space stereo multi-layer structure, and the traffic in these networks is concurrent. Understanding how traffic dynamics depend on these real communication networks and finding an effective routing strategy that can fit the circumstance of traffic concurrency and enhance the network performance are necessary. In this light, we propose a traffic model for space stereo multi-layer complex network and introduce two kinds of global forward-predicting dynamic routing strategies, global forward-predicting hybrid minimum queue(HMQ) routing strategy and global forward-predicting hybrid minimum degree and queue(HMDQ) routing strategy, for traffic concurrency space stereo multi-layer scale-free networks. By applying forward-predicting strategy, the proposed routing strategies achieve better performances in traffic concurrency space stereo multi-layer scale-free networks. Compared with the efficient routing strategy and global dynamic routing strategy, HMDQ and HMQ routing strategies can optimize the traffic distribution, alleviate the number of congested packets effectively and reach much higher network capacity.Many real communication networks, such as oceanic monitoring network and land environment observation network,can be described as space stereo multi-layer structure, and the traffic in these networks is concurrent. Understanding how traffic dynamics depend on these real communication networks and finding an effective routing strategy that can fit the circumstance of traffic concurrency and enhance the network performance are necessary. In this light, we propose a traffic model for space stereo multi-layer complex network and introduce two kinds of global forward-predicting dynamic routing strategies, global forward-predicting hybrid minimum queue(HMQ) routing strategy and global forward-predicting hybrid minimum degree and queue(HMDQ) routing strategy, for traffic concurrency space stereo multi-layer scale-free networks. By applying forward-predicting strategy, the proposed routing strategies achieve better performances in traffic concurrency space stereo multi-layer scale-free networks. Compared with the efficient routing strategy and global dynamic routing strategy, HMDQ and HMQ routing strategies can optimize the traffic distribution, alleviate the number of congested packets effectively and reach much higher network capacity.

关 键 词:multi-layer complex network SCALE-FREE routing strategy network capacity 

分 类 号:TN915.0[电子电信—通信与信息系统]

 

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