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Research Of Jammer Localization Algorithm Based On RSS In Wireless Sensor Networks

Posted on:2017-03-03Degree:MasterType:Thesis
Country:ChinaCandidate:D Y HouFull Text:PDF
GTID:2348330515465775Subject:Control Science and Engineering
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Wireless sensor network is a multiple hops self-organizing network,which is composed of a large number of cheap micro sensors and adopt wireless communication mode.It becomes a hot spot of the subject because of its vast development and application value.At the same time,due to the broadcast and openness of the wireless medium's essential feature,it can easily to be jammed.Wireless sensor networks communication is susceptible to jamming attacks,which would make the network communication blocked or even paralysis.In order to localize the position of the jammer and then eliminate it to guarantee the normal communication.We proceed the jammer localization algorithm research in the following three aspects.1.Ratio method based on RSS(Received Signal Strength)offsets the drawbacks of the traditional algorithm which is based on the ideal transmission model to locate.Ratio method based on RSS using the spread of the relationship between signal models,eliminating the unknown parameters.And then use different nodes distance pipeline to locate initial position of the jammer.2.After determining the initial estimate position,we calculate the deviation between the estimate position and the actual position through the position of three candidate nodes.If the deviation did not meet the accuracy requirement,iterated until it less than a specified threshold.It is a kind of independent optimization algorithm,can also provide optimum solution for other positioning problem.3.In mobile jamming attack scenarios,put forward a kind of track prediction method based on the secondary boundary nodes.It locates the jammed area with matching the secondary boundary nodes in two ways.This paper give the algorithm's theoretical analysis and simulation experiment,and compared with existing algorithms.Simulation shows that our algorithm under the different network environments outperforms existing algorithms.
Keywords/Search Tags:wireless sensor networks, jammer localization, ratio, mobile, simulation
PDF Full Text Request
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