{"title":"基于干扰机发射功率智能估计的干扰机定位","authors":"Waleed Aldosari, M. Zohdy, Richard Olawoyin","doi":"10.1109/NAECON46414.2019.9058093","DOIUrl":null,"url":null,"abstract":"Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Jammer Localization Through Smart Estimation of Jammer’s Transmission Power\",\"authors\":\"Waleed Aldosari, M. Zohdy, Richard Olawoyin\",\"doi\":\"10.1109/NAECON46414.2019.9058093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.\",\"PeriodicalId\":193529,\"journal\":{\"name\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON46414.2019.9058093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Jammer Localization Through Smart Estimation of Jammer’s Transmission Power
Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.