{"title":"论传感器网络分析中环境建模的重要性","authors":"L. Samper, F. Maraninchi, Erwan Jahier","doi":"10.1109/SAHCN.2006.288569","DOIUrl":null,"url":null,"abstract":"A sensor network may be considered as a large and complex computer system embedded in the physical environment that has some influence on the sensors. The environment is the source of (almost) all activity that occurs in the network. With a simple example modeled in our tool GLONEMO, we show the influence of an environment model that allows to describe correlated stimuli on the set of sensors at a given instant, and also correlations between successive instants","PeriodicalId":58925,"journal":{"name":"Digital Communications and Networks","volume":"4 1","pages":"835-841"},"PeriodicalIF":7.5000,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"On the Importance of Modeling the Environment when Analyzing Sensor Networks\",\"authors\":\"L. Samper, F. Maraninchi, Erwan Jahier\",\"doi\":\"10.1109/SAHCN.2006.288569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A sensor network may be considered as a large and complex computer system embedded in the physical environment that has some influence on the sensors. The environment is the source of (almost) all activity that occurs in the network. With a simple example modeled in our tool GLONEMO, we show the influence of an environment model that allows to describe correlated stimuli on the set of sensors at a given instant, and also correlations between successive instants\",\"PeriodicalId\":58925,\"journal\":{\"name\":\"Digital Communications and Networks\",\"volume\":\"4 1\",\"pages\":\"835-841\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2006-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Communications and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAHCN.2006.288569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAHCN.2006.288569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Importance of Modeling the Environment when Analyzing Sensor Networks
A sensor network may be considered as a large and complex computer system embedded in the physical environment that has some influence on the sensors. The environment is the source of (almost) all activity that occurs in the network. With a simple example modeled in our tool GLONEMO, we show the influence of an environment model that allows to describe correlated stimuli on the set of sensors at a given instant, and also correlations between successive instants
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