{"title":"利用视距和互调失真分析增强覆盖模型,降低传输损耗","authors":"R. Priyadarshini, N. Sivakumar","doi":"10.1109/ICRAECC43874.2019.8994993","DOIUrl":null,"url":null,"abstract":"The field of underwater network growing rapidly in todays world and it plays a major role in many commercial applications. The formidable challenges are encountered in underwater acoustic propagation channels such as very slow propagation waves, high propagation delay, and limited bandwidth. Suppose, when the signal propagates from the transmitter to receiver channel states which will be affected by fading, Doppler spread, and multi-path propagation model. In Underwater Sensor Network (UWSN), during data communication the path loss is minimized by estimating Channel State Information (CSI) with real-time Line-Of-Sight (LOS). Therefore, the main objective of the research work is to minimize the transmission loss and improves the coverage model with Intermodulation Distortion (IMD) by analyzing radio frequency waves and to provide low Bit Error Rate (BER) for statistical CSI. With the help of RF analyzer and frequency coordination tools, we could analyze the signal strength (dBm) with a clear waveform in an acoustic channel. Based on the frequency channel set and distance the path loss can be minimized by improving the signal strength in RF channel analyzer. Finally, we provide better results when we compared to existing underwater acoustic platforms for practical evaluation of underwater sensor networks.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing coverage model and reducing transmission loss using Line-Of-Sight and Intermodulation Distortion analysis\",\"authors\":\"R. Priyadarshini, N. Sivakumar\",\"doi\":\"10.1109/ICRAECC43874.2019.8994993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The field of underwater network growing rapidly in todays world and it plays a major role in many commercial applications. The formidable challenges are encountered in underwater acoustic propagation channels such as very slow propagation waves, high propagation delay, and limited bandwidth. Suppose, when the signal propagates from the transmitter to receiver channel states which will be affected by fading, Doppler spread, and multi-path propagation model. In Underwater Sensor Network (UWSN), during data communication the path loss is minimized by estimating Channel State Information (CSI) with real-time Line-Of-Sight (LOS). Therefore, the main objective of the research work is to minimize the transmission loss and improves the coverage model with Intermodulation Distortion (IMD) by analyzing radio frequency waves and to provide low Bit Error Rate (BER) for statistical CSI. With the help of RF analyzer and frequency coordination tools, we could analyze the signal strength (dBm) with a clear waveform in an acoustic channel. Based on the frequency channel set and distance the path loss can be minimized by improving the signal strength in RF channel analyzer. Finally, we provide better results when we compared to existing underwater acoustic platforms for practical evaluation of underwater sensor networks.\",\"PeriodicalId\":137313,\"journal\":{\"name\":\"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRAECC43874.2019.8994993\",\"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 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAECC43874.2019.8994993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing coverage model and reducing transmission loss using Line-Of-Sight and Intermodulation Distortion analysis
The field of underwater network growing rapidly in todays world and it plays a major role in many commercial applications. The formidable challenges are encountered in underwater acoustic propagation channels such as very slow propagation waves, high propagation delay, and limited bandwidth. Suppose, when the signal propagates from the transmitter to receiver channel states which will be affected by fading, Doppler spread, and multi-path propagation model. In Underwater Sensor Network (UWSN), during data communication the path loss is minimized by estimating Channel State Information (CSI) with real-time Line-Of-Sight (LOS). Therefore, the main objective of the research work is to minimize the transmission loss and improves the coverage model with Intermodulation Distortion (IMD) by analyzing radio frequency waves and to provide low Bit Error Rate (BER) for statistical CSI. With the help of RF analyzer and frequency coordination tools, we could analyze the signal strength (dBm) with a clear waveform in an acoustic channel. Based on the frequency channel set and distance the path loss can be minimized by improving the signal strength in RF channel analyzer. Finally, we provide better results when we compared to existing underwater acoustic platforms for practical evaluation of underwater sensor networks.