{"title":"提高无线传感器网络信噪比的天线波束宽度控制","authors":"K. Staniec, G. Debita","doi":"10.1109/INES.2010.5483866","DOIUrl":null,"url":null,"abstract":"In the article it demonstrated that the neighbor-finding procedure in many nowadays wireless sensor networks bears a potential of generating an excessive radio interference. It is shown, based on Stojmenovič Minimum Spanning Tree algorithm, that the situation can be improved even in the worst case scenario of simultaneous transmission from all network nodes, by utilizing the directional antennas, taking the Signal-to-Noise and Interference ratio as a performance measure.","PeriodicalId":118326,"journal":{"name":"2010 IEEE 14th International Conference on Intelligent Engineering Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Antenna beamwidth control for improving Signal-to-Noise ratio in wireless sensor networks\",\"authors\":\"K. Staniec, G. Debita\",\"doi\":\"10.1109/INES.2010.5483866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article it demonstrated that the neighbor-finding procedure in many nowadays wireless sensor networks bears a potential of generating an excessive radio interference. It is shown, based on Stojmenovič Minimum Spanning Tree algorithm, that the situation can be improved even in the worst case scenario of simultaneous transmission from all network nodes, by utilizing the directional antennas, taking the Signal-to-Noise and Interference ratio as a performance measure.\",\"PeriodicalId\":118326,\"journal\":{\"name\":\"2010 IEEE 14th International Conference on Intelligent Engineering Systems\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 14th International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2010.5483866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 14th International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2010.5483866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Antenna beamwidth control for improving Signal-to-Noise ratio in wireless sensor networks
In the article it demonstrated that the neighbor-finding procedure in many nowadays wireless sensor networks bears a potential of generating an excessive radio interference. It is shown, based on Stojmenovič Minimum Spanning Tree algorithm, that the situation can be improved even in the worst case scenario of simultaneous transmission from all network nodes, by utilizing the directional antennas, taking the Signal-to-Noise and Interference ratio as a performance measure.
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