{"title":"TestBed内部的网络数据流量管理","authors":"J. Judvaitis, Arnis Salmins, K. Nesenbergs","doi":"10.1109/RTUWO.2016.7821874","DOIUrl":null,"url":null,"abstract":"Wireless sensor network (WSN) TestBed design challenges can be divided into three main sub-categories: architectural, hardware and software. By considering all these challenges, an optimal solution was found and EDI TestBed created. In this paper, a method, which solves software related problems in large scale WSN TestBed, such as how to distribute computational resources, control all of the TestBed devices and how to efficiently acquire and structure the data, is described. The experimental test results shows that proposed method is advantageous for large scale TestBeds (more than 20 sensor nodes), and its efficiency increases rapidly if the number of sensor nodes in TestBed increases.","PeriodicalId":229246,"journal":{"name":"2016 Advances in Wireless and Optical Communications (RTUWO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Network data traffic management inside a TestBed\",\"authors\":\"J. Judvaitis, Arnis Salmins, K. Nesenbergs\",\"doi\":\"10.1109/RTUWO.2016.7821874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor network (WSN) TestBed design challenges can be divided into three main sub-categories: architectural, hardware and software. By considering all these challenges, an optimal solution was found and EDI TestBed created. In this paper, a method, which solves software related problems in large scale WSN TestBed, such as how to distribute computational resources, control all of the TestBed devices and how to efficiently acquire and structure the data, is described. The experimental test results shows that proposed method is advantageous for large scale TestBeds (more than 20 sensor nodes), and its efficiency increases rapidly if the number of sensor nodes in TestBed increases.\",\"PeriodicalId\":229246,\"journal\":{\"name\":\"2016 Advances in Wireless and Optical Communications (RTUWO)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Advances in Wireless and Optical Communications (RTUWO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTUWO.2016.7821874\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Advances in Wireless and Optical Communications (RTUWO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUWO.2016.7821874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless sensor network (WSN) TestBed design challenges can be divided into three main sub-categories: architectural, hardware and software. By considering all these challenges, an optimal solution was found and EDI TestBed created. In this paper, a method, which solves software related problems in large scale WSN TestBed, such as how to distribute computational resources, control all of the TestBed devices and how to efficiently acquire and structure the data, is described. The experimental test results shows that proposed method is advantageous for large scale TestBeds (more than 20 sensor nodes), and its efficiency increases rapidly if the number of sensor nodes in TestBed increases.
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