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The Algorithm Research For Intelligent Optimization Locating And Spreading Model On Wireless Sensor Networks

Posted on:2015-04-27Degree:MasterType:Thesis
Country:ChinaCandidate:S X JinFull Text:PDF
GTID:2298330422984651Subject:Computer technology
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Wireless Sensor Networks (WSNs) is a newly data-centric data communication network.With many WSNs application programs from conceptualization to market, WSNs has enterfew fields in everyone life. In terms of network structure, WSNs has made an evolutiondevelopment from isomorphic data communication network to isomerism datacommunication network. In the WSNs, the sensor network nodes are not the only type device,PDA, notebook computer and smartphone are also could as the device in WSNs. Also, thechange of application requirement proposes higher demand to key support technical, such aslocation, routing and data fusion. These key support technical need match different WSNsdeploy environments’ function requirements.In addition, with the spread of WSNs application scene, WSNs carry much importantdata about business. If the business data be steal or tamper by hackers, it will bring hugelosses to enterprise and society. So the information security of WSNs has become one of thehot research fields.First, this paper analysis the defect of normal nodes location algorithm in multiplebarriers environment deeply, in order to improve the performance of nodes location algorithm,we pull the optimization feature of genetic algorithm into nodes location algorithm. In thisway, we could get nodes location information effective in multiple barriers environment. Onthis basis, this paper makes deep research about virus propagation behavior on IPv6WSNs.Using virus spread model from complex network. We also make many cases study about thespread behavior feature on IPv6WSNs and propose a new model to describe the virus spreadbehavior on IPv6WSNs. The model can provide much help for the study of the virus immuneon IPv6WSNs. The main research work of this paper is as follows:(1) Systematical analysis on location algorithm and virus spread feature of WSNsThis paper has analysis the significant role of key support technical to WSNsapplications’ development. We make systematical analysis the problems of nodes locationalgorithm and IPv6WSNs’ information security, and also explore the two problems. After that,we propose a new WSNs nodes location algorithm based on genetic algorithm and a newmodel to describe the virus spread feature on IPv6WSNs.(2) Proposing an intelligent WSNs nodes location algorithmAfter deeply study many classical WSNs nodes location algorithms, we found that these methods all can’t work well under the multiple barriers environment. Aim at the defect oflocation algorithm, this paper propose an intelligent WSNs nodes location algorithm in orderto make WSNs nodes can get location information well under the bad environment. In thispaper we also test the efficacy of the new location algorithm by many simulation experiments.These experiments proved the greatly improved over other algorithms.(3) Proposing a new model to describe the virus spread behavior on IPv6WSNsIPv6WSNs as a novel WSNs based on new IP protocol, the information security hascause attention by users and researchers. This paper study the new data transmission modefrom IPv6, then research the virus spread behavior feature on IPv6WSNs deeply throughmany simulation experiments in different scenes. From this, we bind classical virus spreadmodel propose a new model to describe the virus spread behavior on IPv6WSNs. This workwill make much help for researching on virus immune and ethology of IPv6WSNs.
Keywords/Search Tags:wireless sensor networks, location, complex network, spread
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