{"title":"VAQAR: Flash memory based long term in-network vital data sustainability and availability for data centric wireless sensor network applications","authors":"S. S. Rizvi, Tae-Sun Chung","doi":"10.1109/YCICT.2009.5382346","DOIUrl":null,"url":null,"abstract":"Sensor nodes collect data in normal and event-driven situations for monitoring environment and performing in-network computation. Such critical event-driven data deletes later carelessly due to context-less storage mechanisms. This causes data failure for network applications and loses support for reliable in-network computation. Therefore, for wireless sensor networks supporting sense, merge, store and send schemes, an efficient data organization technique is highly required. In this paper, we propose an advanced log structured external NAND flash memory based data management method called Varying Aggressive data Quality Access Reference (VAQAR) for data centric wireless sensor network applications. We focus particularly on critical data to provide long term sustainability and rapid availability for effective in-network computations. Experimental results show VAQAR an ideal memory management system software scheme proposing high performance for vital in-network data organization for wireless sensor network applications.","PeriodicalId":138803,"journal":{"name":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2009.5382346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Sensor nodes collect data in normal and event-driven situations for monitoring environment and performing in-network computation. Such critical event-driven data deletes later carelessly due to context-less storage mechanisms. This causes data failure for network applications and loses support for reliable in-network computation. Therefore, for wireless sensor networks supporting sense, merge, store and send schemes, an efficient data organization technique is highly required. In this paper, we propose an advanced log structured external NAND flash memory based data management method called Varying Aggressive data Quality Access Reference (VAQAR) for data centric wireless sensor network applications. We focus particularly on critical data to provide long term sustainability and rapid availability for effective in-network computations. Experimental results show VAQAR an ideal memory management system software scheme proposing high performance for vital in-network data organization for wireless sensor network applications.