{"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}
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.