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Research and Analysis Method of Robustness for Topology of Wireless Communications Network

Author: LiHongTao
Tutor: YuanZhanTing；FengTao
School: Lanzhou University of Technology
Course: Communication and Information System
Keywords: Wireless Network Connecting robustness Restore robustness Topology modeling Bernoulli node network model
CLC: TP393.02
Type: Master's thesis
Year: 2011
Downloads: 48
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Abstract

In recent years, a large number of applications with the communication network , the network intrusion also change . Communications network running often lead to a node does not work properly because of random errors that occur in nature or by outside artificial destruction . Especially when the network was outside human destruction , many nodes will become a failed node . Due to the presence of these failed nodes , the network topology is often separated from the coverage of the network , thus largely reducing network will ultimately lead to network performance degradation and even the complete loss of function , that is, network failure . The resistance of the network topology to external damage or interference , i.e. topologies robustness has been more and more attention by the research workers of the complex network . This article summarizes the current status quo of the topology robustness of the study , the ability to resist damage from the network and the ability to recover after damage both study the robustness of the wireless communication network topology . That the research network topology robustness have to solve three basic problems : network topology \robustness of the good and bad . Network connectivity and resilience based robustness into connection the robustness and restore robustness , network failure type according to both random failures and malicious attacks will connect to random failures the robustness and malicious attacks robustness robustness is divided into will restore robustness are divided into random failure node recovery robustness , random failures edge recovery robustness , malicious node recovery recovery side of the robustness and malicious attacks robustness , and six measure indicators the exact definition . Then the use of the six measurement indicator analysis Bernoulli node network topology robustness of the model , draw the relationship between different situations topology and the six measure indicators , analysis of the results showed that : Bernoulli node network model plane topology malicious attacks robustness is superior to the hierarchical topology , random failure robustness to be inferior to the hierarchical topology ; edge of the flat topology recovery robustness is superior to the hierarchical topology , node recovery robustness to be inferior to the hierarchical topology .

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