{"title":"无线传感器网络调度的自动生成","authors":"Anis Mezni, E. Dumitrescu, É. Niel, S. Ahmed","doi":"10.1109/HPCS.2017.32","DOIUrl":null,"url":null,"abstract":"In this paper, the Discrete Controller Synthesis (DCS) technique is applied in order to obtain a correct-by- construction automatic distributed scheduling of Wireless Sensor Network (WSN). Our approach starts from an abstract formal model considering that communication between nodes are instantaneous. Then, a refined model is obtained by adding a realistic communication mechanism while preserving the global controlled behavior generated initially by automatic synthesis. This communication mechanism is called a synchronization “barrier“: a software mechanism constraining a set of sensors to wait for each other before making its own local decision and before deactivation. The approach is illustrated by a WSN model with two communicating nodes.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic Generation of Wireless Sensor Networks Scheduling\",\"authors\":\"Anis Mezni, E. Dumitrescu, É. Niel, S. Ahmed\",\"doi\":\"10.1109/HPCS.2017.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the Discrete Controller Synthesis (DCS) technique is applied in order to obtain a correct-by- construction automatic distributed scheduling of Wireless Sensor Network (WSN). Our approach starts from an abstract formal model considering that communication between nodes are instantaneous. Then, a refined model is obtained by adding a realistic communication mechanism while preserving the global controlled behavior generated initially by automatic synthesis. This communication mechanism is called a synchronization “barrier“: a software mechanism constraining a set of sensors to wait for each other before making its own local decision and before deactivation. The approach is illustrated by a WSN model with two communicating nodes.\",\"PeriodicalId\":115758,\"journal\":{\"name\":\"2017 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCS.2017.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS.2017.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Generation of Wireless Sensor Networks Scheduling
In this paper, the Discrete Controller Synthesis (DCS) technique is applied in order to obtain a correct-by- construction automatic distributed scheduling of Wireless Sensor Network (WSN). Our approach starts from an abstract formal model considering that communication between nodes are instantaneous. Then, a refined model is obtained by adding a realistic communication mechanism while preserving the global controlled behavior generated initially by automatic synthesis. This communication mechanism is called a synchronization “barrier“: a software mechanism constraining a set of sensors to wait for each other before making its own local decision and before deactivation. The approach is illustrated by a WSN model with two communicating nodes.