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Research On Layout Algorithm Of Airport Noise Monitoring Points Based On WSN

Posted on:2015-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:J J XuFull Text:PDF
GTID:2272330422980987Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
The continuous development of civil aviation industry makes the ariport noise issues whichperplexes airline industry for a long time more jump severly and how to efficaciously monitor airportnoise becomes a key to healthy and uninterruptedly developing civil aviation industry.Sensor networkis considered to be one of the21st century’s mose influential changes.So the use of WSN in airportnoise monitoring is very meaningful which can achieve comprehensive data collecting.In order to monitor the noise datas near the airports,by considering that the noise datas ofairfield interior are serried and the noise datas of airport around are sparse, the paper proposesSANE-IGAODmonitoring points layout algorithm for two-dimensional environment within theairport and MANE-IGHKCA monitoring points layout algorithm for three-dimensional environmentaround the airport.When the SANE-IGAODalgorithm is running,the target area to be monitored will be divided intomany gird points and the INM noise prediction software is used to caltulate noise data in each gridpoint when aircraft noise events happen. Then defining Single Aircraft Noise Event and according toSANE limits,we can make sure all the monitored noise event of each grid point. At last by usingimproved genetic algorithm to seek a near-optimal solution, makes the sensor nodes in the solution setcan cover all of the active noise events as well as the number of nodes as little as possible.The MANE-IGHKCA model considers the environment nearby airport complicated, so thatneeds three-dimensional WSN covered.First the three-dimensional target area to be monitored will bedivided into many gird points in3D space and the INM noise prediction software is used to caltulatenoise data in each grid point when aircraft noise events happen. Then defining Multiple Aircraft NoiseEvent and according to MANE limits, we can make sure all the monitored noise event of each gridpoint. At last by using improved k-cover greed algorithm to get monitoring points deploymentscenarios, makes the sensor nodes in the solution set can cover all of the active noise events as well asthe number of nodes as little as possible.Simulation results show that two monitoring sites layout algorithms can receive higher coveragerates and can guarantee that the two disposition plan can cover all the active noise events as well asthe number of nodes as little as possible.
Keywords/Search Tags:WSN, airport noise monitor, noise assessment, genetic algorithm, k-cover algorithm
PDF Full Text Request
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