{"title":"基于模糊逻辑的安全路径损失预测","authors":"A. Gupta, S.C. Sharma, Sandip Vijay, V. Gupta","doi":"10.1109/WCSN.2008.4772717","DOIUrl":null,"url":null,"abstract":"Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict path loss for correct location of base station in cellular mobile communication systems using fuzzy logic. The propagation medium is classified in to several well-established propagation environments defined as a fuzzy set such as free space, flat area terrain, light vegetation terrain, heavy vegetation terrain, and village terrain. A unique mean path loss exponent (n) is assigned to each propagation environment, which is established by means of the experimental. Fuzzy logic is used to determine ldquonrdquo number for an unknown environment, which will be obtained using linguistic rules that provide a fine-tuning of the known propagation environments. HATA model proposed by M. Hata has been used for the present analysis.","PeriodicalId":338962,"journal":{"name":"2008 Fourth International Conference on Wireless Communication and Sensor Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Secure path loss prediction using fuzzy logic approach\",\"authors\":\"A. Gupta, S.C. Sharma, Sandip Vijay, V. Gupta\",\"doi\":\"10.1109/WCSN.2008.4772717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict path loss for correct location of base station in cellular mobile communication systems using fuzzy logic. The propagation medium is classified in to several well-established propagation environments defined as a fuzzy set such as free space, flat area terrain, light vegetation terrain, heavy vegetation terrain, and village terrain. A unique mean path loss exponent (n) is assigned to each propagation environment, which is established by means of the experimental. Fuzzy logic is used to determine ldquonrdquo number for an unknown environment, which will be obtained using linguistic rules that provide a fine-tuning of the known propagation environments. HATA model proposed by M. Hata has been used for the present analysis.\",\"PeriodicalId\":338962,\"journal\":{\"name\":\"2008 Fourth International Conference on Wireless Communication and Sensor Networks\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Fourth International Conference on Wireless Communication and Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSN.2008.4772717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fourth International Conference on Wireless Communication and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSN.2008.4772717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secure path loss prediction using fuzzy logic approach
Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict path loss for correct location of base station in cellular mobile communication systems using fuzzy logic. The propagation medium is classified in to several well-established propagation environments defined as a fuzzy set such as free space, flat area terrain, light vegetation terrain, heavy vegetation terrain, and village terrain. A unique mean path loss exponent (n) is assigned to each propagation environment, which is established by means of the experimental. Fuzzy logic is used to determine ldquonrdquo number for an unknown environment, which will be obtained using linguistic rules that provide a fine-tuning of the known propagation environments. HATA model proposed by M. Hata has been used for the present analysis.