{"title":"利用混合调度提高高可预测性无线传感器平台的效率","authors":"M. Micea, C. Stângaciu, V. Stangaciu, V. Cretu","doi":"10.1109/ROSE.2012.6402613","DOIUrl":null,"url":null,"abstract":"We focus on increasing the execution efficiency and flexibility of fully predictable embedded platforms, with direct applications in wireless sensor networks. The proposed technique is a hybrid scheduling mechanism, which combines the high predictability of a non-preemptive cyclic scheduler with the efficiency of a modified version of the Earliest Deadline First algorithm. Implementation details on ARM7-based platforms are provided, along with a case study of real-time wireless communication driver for sensor networks. The experimental results prove that this method achieves the proposed goals: an increased execution efficiency and flexibility while preserving the required real-time predictability of the systems.","PeriodicalId":306272,"journal":{"name":"2012 IEEE International Symposium on Robotic and Sensors Environments Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improving the efficiency of highly predictable wireless sensor platforms with hybrid scheduling\",\"authors\":\"M. Micea, C. Stângaciu, V. Stangaciu, V. Cretu\",\"doi\":\"10.1109/ROSE.2012.6402613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We focus on increasing the execution efficiency and flexibility of fully predictable embedded platforms, with direct applications in wireless sensor networks. The proposed technique is a hybrid scheduling mechanism, which combines the high predictability of a non-preemptive cyclic scheduler with the efficiency of a modified version of the Earliest Deadline First algorithm. Implementation details on ARM7-based platforms are provided, along with a case study of real-time wireless communication driver for sensor networks. The experimental results prove that this method achieves the proposed goals: an increased execution efficiency and flexibility while preserving the required real-time predictability of the systems.\",\"PeriodicalId\":306272,\"journal\":{\"name\":\"2012 IEEE International Symposium on Robotic and Sensors Environments Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Symposium on Robotic and Sensors Environments Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROSE.2012.6402613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Symposium on Robotic and Sensors Environments Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROSE.2012.6402613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving the efficiency of highly predictable wireless sensor platforms with hybrid scheduling
We focus on increasing the execution efficiency and flexibility of fully predictable embedded platforms, with direct applications in wireless sensor networks. The proposed technique is a hybrid scheduling mechanism, which combines the high predictability of a non-preemptive cyclic scheduler with the efficiency of a modified version of the Earliest Deadline First algorithm. Implementation details on ARM7-based platforms are provided, along with a case study of real-time wireless communication driver for sensor networks. The experimental results prove that this method achieves the proposed goals: an increased execution efficiency and flexibility while preserving the required real-time predictability of the systems.