{"title":"无线传感器网络仿真中的全干扰模型","authors":"Hengguang Li, P. Mitchell","doi":"10.1109/ISWCS.2009.5285349","DOIUrl":null,"url":null,"abstract":"In wireless sensor network research, simulation is one of the most important approaches to evaluate system or protocol performance. The accuracy of estimated results depends on selected simulation parameters. In existing analysis on wireless sensor network, simple interference models are used in simulations, which only take interference signals from nodes in a particular range into account. Based on our research, it is shown that these interference models are not accurate enough for practical wireless sensor network applications analysis. To improve the simulation quality, a full interference model is proposed. By comparing results, it is shown that the full interference model is able to provide more accurate system evaluation than traditional models.","PeriodicalId":344018,"journal":{"name":"2009 6th International Symposium on Wireless Communication Systems","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Full interference model in wireless sensor network simulation\",\"authors\":\"Hengguang Li, P. Mitchell\",\"doi\":\"10.1109/ISWCS.2009.5285349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In wireless sensor network research, simulation is one of the most important approaches to evaluate system or protocol performance. The accuracy of estimated results depends on selected simulation parameters. In existing analysis on wireless sensor network, simple interference models are used in simulations, which only take interference signals from nodes in a particular range into account. Based on our research, it is shown that these interference models are not accurate enough for practical wireless sensor network applications analysis. To improve the simulation quality, a full interference model is proposed. By comparing results, it is shown that the full interference model is able to provide more accurate system evaluation than traditional models.\",\"PeriodicalId\":344018,\"journal\":{\"name\":\"2009 6th International Symposium on Wireless Communication Systems\",\"volume\":\"208 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 6th International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2009.5285349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2009.5285349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Full interference model in wireless sensor network simulation
In wireless sensor network research, simulation is one of the most important approaches to evaluate system or protocol performance. The accuracy of estimated results depends on selected simulation parameters. In existing analysis on wireless sensor network, simple interference models are used in simulations, which only take interference signals from nodes in a particular range into account. Based on our research, it is shown that these interference models are not accurate enough for practical wireless sensor network applications analysis. To improve the simulation quality, a full interference model is proposed. By comparing results, it is shown that the full interference model is able to provide more accurate system evaluation than traditional models.
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