{"title":"无线电网络的临界和条件概率论建模","authors":"P.A. Roman, B. Simms","doi":"10.1109/ARMS.1990.67946","DOIUrl":null,"url":null,"abstract":"Criticality, as defined by K.K. Aggarwal (Proc. Ann. Reliability and Maintainability Symp., p.86-9, 1989), is shown to be an adaptation of conditional probability theory. Both of these methods are shown to be acceptable techniques for modeling a simple radio network. However, the equivalent parallel-configuration approach provided a much simpler way of modeling the radio network problem, by using standard techniques in a new way. The logical interpretation of not-fully-critical subunits is clearly modeled with a simple manipulation of the standard reliability block diagram. The equivalent parallel-configuration approach is shown to be useful in modeling any situation where failed components may or may not lead to system failure.<<ETX>>","PeriodicalId":383597,"journal":{"name":"Annual Proceedings on Reliability and Maintainability Symposium","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Radio network modeling using criticality and conditional probability theory\",\"authors\":\"P.A. Roman, B. Simms\",\"doi\":\"10.1109/ARMS.1990.67946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Criticality, as defined by K.K. Aggarwal (Proc. Ann. Reliability and Maintainability Symp., p.86-9, 1989), is shown to be an adaptation of conditional probability theory. Both of these methods are shown to be acceptable techniques for modeling a simple radio network. However, the equivalent parallel-configuration approach provided a much simpler way of modeling the radio network problem, by using standard techniques in a new way. The logical interpretation of not-fully-critical subunits is clearly modeled with a simple manipulation of the standard reliability block diagram. The equivalent parallel-configuration approach is shown to be useful in modeling any situation where failed components may or may not lead to system failure.<<ETX>>\",\"PeriodicalId\":383597,\"journal\":{\"name\":\"Annual Proceedings on Reliability and Maintainability Symposium\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Proceedings on Reliability and Maintainability Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARMS.1990.67946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Proceedings on Reliability and Maintainability Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARMS.1990.67946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radio network modeling using criticality and conditional probability theory
Criticality, as defined by K.K. Aggarwal (Proc. Ann. Reliability and Maintainability Symp., p.86-9, 1989), is shown to be an adaptation of conditional probability theory. Both of these methods are shown to be acceptable techniques for modeling a simple radio network. However, the equivalent parallel-configuration approach provided a much simpler way of modeling the radio network problem, by using standard techniques in a new way. The logical interpretation of not-fully-critical subunits is clearly modeled with a simple manipulation of the standard reliability block diagram. The equivalent parallel-configuration approach is shown to be useful in modeling any situation where failed components may or may not lead to system failure.<>