{"title":"太阳能高性能无线嵌入式系统监测结果一致性的调度算法","authors":"D. Dondi, P. Zappi, T. Simunic","doi":"10.1109/ISLPED.2011.5993646","DOIUrl":null,"url":null,"abstract":"Getting consistent results when monitoring phenomena is a challenging but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy predictor to achieve uniform monitoring over time while maximizing the number of tasks executed. Our approach outperforms state of the art algorithms by increasing the number of daily measurement by 30% and reducing their standard deviation by 5.5×.","PeriodicalId":117694,"journal":{"name":"IEEE/ACM International Symposium on Low Power Electronics and Design","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems\",\"authors\":\"D. Dondi, P. Zappi, T. Simunic\",\"doi\":\"10.1109/ISLPED.2011.5993646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Getting consistent results when monitoring phenomena is a challenging but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy predictor to achieve uniform monitoring over time while maximizing the number of tasks executed. Our approach outperforms state of the art algorithms by increasing the number of daily measurement by 30% and reducing their standard deviation by 5.5×.\",\"PeriodicalId\":117694,\"journal\":{\"name\":\"IEEE/ACM International Symposium on Low Power Electronics and Design\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE/ACM International Symposium on Low Power Electronics and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISLPED.2011.5993646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISLPED.2011.5993646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems
Getting consistent results when monitoring phenomena is a challenging but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy predictor to achieve uniform monitoring over time while maximizing the number of tasks executed. Our approach outperforms state of the art algorithms by increasing the number of daily measurement by 30% and reducing their standard deviation by 5.5×.
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