一种保证传感器网络节点中多个应用程序执行时间最少的分区方案

D. Kim, Beomseok Kim, Jinsung Cho
{"title":"一种保证传感器网络节点中多个应用程序执行时间最少的分区方案","authors":"D. Kim, Beomseok Kim, Jinsung Cho","doi":"10.1109/ICOIN.2014.6799678","DOIUrl":null,"url":null,"abstract":"Due to rapid development of embedded system technologies, miniaturization of low-power sensor nodes becomes possible. Based on these improvements of sensor nodes, several sensor applications can run on a single sensor hardware and all of the applications in sensor network should be guaranteed the real-time requirements and independence. To satisfy these requirements, the virtualization concept was proposed. However, the virtualization cannot be applied to sensor nodes because it requires powerful computing resources. To solve this problem, the partitioning scheme which is categorized into temporal partitioning and spatial partitioning has been proposed. In this paper, we design and implement temporal partitioning scheme for sensor nodes and validate that our implementation guarantees minimum execution time of each partition.","PeriodicalId":388486,"journal":{"name":"The International Conference on Information Networking 2014 (ICOIN2014)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A partitioning scheme to guarantee minimum execution time for multiple applications in sensor network nodes\",\"authors\":\"D. Kim, Beomseok Kim, Jinsung Cho\",\"doi\":\"10.1109/ICOIN.2014.6799678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to rapid development of embedded system technologies, miniaturization of low-power sensor nodes becomes possible. Based on these improvements of sensor nodes, several sensor applications can run on a single sensor hardware and all of the applications in sensor network should be guaranteed the real-time requirements and independence. To satisfy these requirements, the virtualization concept was proposed. However, the virtualization cannot be applied to sensor nodes because it requires powerful computing resources. To solve this problem, the partitioning scheme which is categorized into temporal partitioning and spatial partitioning has been proposed. In this paper, we design and implement temporal partitioning scheme for sensor nodes and validate that our implementation guarantees minimum execution time of each partition.\",\"PeriodicalId\":388486,\"journal\":{\"name\":\"The International Conference on Information Networking 2014 (ICOIN2014)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Conference on Information Networking 2014 (ICOIN2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2014.6799678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on Information Networking 2014 (ICOIN2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2014.6799678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于嵌入式系统技术的快速发展,使得低功耗传感器节点的小型化成为可能。基于这些传感器节点的改进,可以在单个传感器硬件上运行多个传感器应用,同时保证传感器网络中所有应用的实时性和独立性。为了满足这些需求,提出了虚拟化的概念。但是,由于虚拟化需要强大的计算资源,因此不能应用于传感器节点。为了解决这一问题,提出了分时间分区和空间分区的分区方案。在本文中,我们设计并实现了传感器节点的时间分区方案,并验证了我们的实现保证了每个分区的最小执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A partitioning scheme to guarantee minimum execution time for multiple applications in sensor network nodes
Due to rapid development of embedded system technologies, miniaturization of low-power sensor nodes becomes possible. Based on these improvements of sensor nodes, several sensor applications can run on a single sensor hardware and all of the applications in sensor network should be guaranteed the real-time requirements and independence. To satisfy these requirements, the virtualization concept was proposed. However, the virtualization cannot be applied to sensor nodes because it requires powerful computing resources. To solve this problem, the partitioning scheme which is categorized into temporal partitioning and spatial partitioning has been proposed. In this paper, we design and implement temporal partitioning scheme for sensor nodes and validate that our implementation guarantees minimum execution time of each partition.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信