{"title":"基于Mamdani Sugano模糊加权质心方法的三维WSN定位","authors":"M. Nanda, A. Kumar, S. Kumar","doi":"10.1109/SCEECS.2012.6184812","DOIUrl":null,"url":null,"abstract":"Localization in WSN used to determine the position of node with the help of known positions of anchor nodes. In many of the applications, where coarse accuracy is sufficient, range free localization mechanism are being pursued alternative to range based localization mechanism. Because the range free localization scheme is low cost and consumes low energy. In this paper, we present range free weighted centroid localization for 3D WSN using Mamdani & Suggano Fuzzy Inference System. In this first anchor nodes are connected to unknown nodes (sensor nodes) localized to found, after this edge weight of anchor nodes are calculated based on received signal strength indicator information (RSSI) by using Mamdani & Sugano inference system. We compare the weighted centroid technique, through extensive simulation with simple centroid. The simulation result represent the effectiveness of 3D weighted centroid scheme.","PeriodicalId":372799,"journal":{"name":"2012 IEEE Students' Conference on Electrical, Electronics and Computer Science","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Localization of 3D WSN using Mamdani Sugano fuzzy weighted centriod approaches\",\"authors\":\"M. Nanda, A. Kumar, S. Kumar\",\"doi\":\"10.1109/SCEECS.2012.6184812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization in WSN used to determine the position of node with the help of known positions of anchor nodes. In many of the applications, where coarse accuracy is sufficient, range free localization mechanism are being pursued alternative to range based localization mechanism. Because the range free localization scheme is low cost and consumes low energy. In this paper, we present range free weighted centroid localization for 3D WSN using Mamdani & Suggano Fuzzy Inference System. In this first anchor nodes are connected to unknown nodes (sensor nodes) localized to found, after this edge weight of anchor nodes are calculated based on received signal strength indicator information (RSSI) by using Mamdani & Sugano inference system. We compare the weighted centroid technique, through extensive simulation with simple centroid. The simulation result represent the effectiveness of 3D weighted centroid scheme.\",\"PeriodicalId\":372799,\"journal\":{\"name\":\"2012 IEEE Students' Conference on Electrical, Electronics and Computer Science\",\"volume\":\"2010 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Students' Conference on Electrical, Electronics and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCEECS.2012.6184812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Students' Conference on Electrical, Electronics and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCEECS.2012.6184812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Localization of 3D WSN using Mamdani Sugano fuzzy weighted centriod approaches
Localization in WSN used to determine the position of node with the help of known positions of anchor nodes. In many of the applications, where coarse accuracy is sufficient, range free localization mechanism are being pursued alternative to range based localization mechanism. Because the range free localization scheme is low cost and consumes low energy. In this paper, we present range free weighted centroid localization for 3D WSN using Mamdani & Suggano Fuzzy Inference System. In this first anchor nodes are connected to unknown nodes (sensor nodes) localized to found, after this edge weight of anchor nodes are calculated based on received signal strength indicator information (RSSI) by using Mamdani & Sugano inference system. We compare the weighted centroid technique, through extensive simulation with simple centroid. The simulation result represent the effectiveness of 3D weighted centroid scheme.
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