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Research On Robustness And Virus Spread In Wireless Sensor Network

Posted on:2014-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2248330395977622Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
The wireless sensor network is a self-organization and multi-hop wireless network consisting of a lot of stationary or mobile sensor nodes. It’s purpose is to collaboratively perceive, collect, process and transmit monitored information of objects in the area covered with the network. Such as vibration, pressure, sound, temperature, motion and pollutants, or other physical and environmental information.In recent years, with the growing maturity of the sensor technology、 the low-power embedded technology and wireless communication technology, wireless sensor networks are developing rapidly. Wireless sensor networks have played a significant role in the military, household and medical aspects. With more attention about wireless sensor networks, the security has been concerned. Wireless sensor networks are typically used in the environment with no person. Once attacked or infected with the virus will likely lead to paralysis of the entire network. Therefore, the study of robustness and virsu spread of the wireless sensor network is very important. The research of most scholars is about network security protocols and routing mechanism. This paper studies the impact of the failure node and features of the virus spread.The main research results are as follows:1The paper analyses the robustness of three different sensor network topology, including homogeneous network, heterogeneous network and local evolution model network. Through a large number of simulations, we illustrate network performance changes when nodes fail in different sensor network topology and draw general laws from degree distribution of networks.2Through the analysis of wireless sensor networks framework, we demonstrate the relationship between the number of infected node over time. Also we discuss the impact of different network topology on virus spread. As a reference, we use three classical complex network topology, including random graph network, small-world networks and scale-free network.
Keywords/Search Tags:wireless sensor network, complex network, robustness, virus spread
PDF Full Text Request
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