{"title":"无线地下传感器网络中基于矿物学的光谱介质模型信道建模与分析","authors":"K. A. Nethravathi, S. Shankar","doi":"10.1109/I2CT.2017.8226112","DOIUrl":null,"url":null,"abstract":"This paper develops, a channel model forpropagation in Wireless Underground Sensor Network (WUSN) under three different communication scenarios viz: UG-UG, UG-AG and AG-UG, using Mineralogy Based Spectroscopic Dielectric Model (MBSDM). This is preferred over the Peplinski Soil Dielectric model for calculating the values of Complex Dielectric Constant (CDC) for a given soil type based on various parameters inherent to the soil. The path loss captures the effects of environment parameters such as sand or clay content, horizontal distance between two sensor nodes under consideration, burial depth and Volumetric Water Content (VWC) of the soil sample, including system parameters such as the operating frequency of the transmitted signal. This study allows us to realize the path loss and received power varies with the given set of parameters. The propagation characteristics between the sensor nodes are investigated in MATLAB environment.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Channel modeling and analysis with mineralogy based spectroscopic dielectric model in wireless underground sensor networks\",\"authors\":\"K. A. Nethravathi, S. Shankar\",\"doi\":\"10.1109/I2CT.2017.8226112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops, a channel model forpropagation in Wireless Underground Sensor Network (WUSN) under three different communication scenarios viz: UG-UG, UG-AG and AG-UG, using Mineralogy Based Spectroscopic Dielectric Model (MBSDM). This is preferred over the Peplinski Soil Dielectric model for calculating the values of Complex Dielectric Constant (CDC) for a given soil type based on various parameters inherent to the soil. The path loss captures the effects of environment parameters such as sand or clay content, horizontal distance between two sensor nodes under consideration, burial depth and Volumetric Water Content (VWC) of the soil sample, including system parameters such as the operating frequency of the transmitted signal. This study allows us to realize the path loss and received power varies with the given set of parameters. The propagation characteristics between the sensor nodes are investigated in MATLAB environment.\",\"PeriodicalId\":343232,\"journal\":{\"name\":\"2017 2nd International Conference for Convergence in Technology (I2CT)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference for Convergence in Technology (I2CT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2CT.2017.8226112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference for Convergence in Technology (I2CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CT.2017.8226112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Channel modeling and analysis with mineralogy based spectroscopic dielectric model in wireless underground sensor networks
This paper develops, a channel model forpropagation in Wireless Underground Sensor Network (WUSN) under three different communication scenarios viz: UG-UG, UG-AG and AG-UG, using Mineralogy Based Spectroscopic Dielectric Model (MBSDM). This is preferred over the Peplinski Soil Dielectric model for calculating the values of Complex Dielectric Constant (CDC) for a given soil type based on various parameters inherent to the soil. The path loss captures the effects of environment parameters such as sand or clay content, horizontal distance between two sensor nodes under consideration, burial depth and Volumetric Water Content (VWC) of the soil sample, including system parameters such as the operating frequency of the transmitted signal. This study allows us to realize the path loss and received power varies with the given set of parameters. The propagation characteristics between the sensor nodes are investigated in MATLAB environment.