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机构地区:[1]School of Electrical Engineering and Automation,Tianjin University
出 处:《Transactions of Tianjin University》2010年第5期354-358,共5页天津大学学报(英文版)
基 金:Supported by National Natural Science Foundation of China (No.60702037);Specialized Research Fund for Doctoral Program of Higher Education of China (No.20070056129);Natural Science Foundation of Tianjin (No.09JCYBJC00800)
摘 要:By using hyper-graph theory,this paper proposes a QoS adaptive topology configuration(QATC) algorithm to effectively control large-scale topology and achieve robust data transmitting in synchronous wireless sensor networks.Firstly,a concise hyper-graph model is abstracted to analyze the large-scale and high-connectivity network.Secondly,based on the control theory of biologic 'Cell Mergence',a novel self-adaptive topology configuration algorithm is used to build homologous perceptive data logic sub-network ...By using hyper-graph theory,this paper proposes a QoS adaptive topology configuration(QATC) algorithm to effectively control large-scale topology and achieve robust data transmitting in synchronous wireless sensor networks.Firstly,a concise hyper-graph model is abstracted to analyze the large-scale and high-connectivity network.Secondly,based on the control theory of biologic "Cell Mergence",a novel self-adaptive topology configuration algorithm is used to build homologous perceptive data logic sub-network for data aggregation.Compared with Flooding,Directed Diffusion,and Energy Aware Directed Diffusion protocols,the simulation proved that QATC algorithm can save more energy,e.g.,about 23.7% in a large size network,and has less delay than the other algorithms.In dynamic experiments,QATC keeps a robust transmitting quality with 10%,20% and 30% random failure nodes.
关 键 词:wireless sensor network QOS TOPOLOGY synchronous network
分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置]
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