{"title":"面向上下文感知应用的高效动态移动感知策略","authors":"Sirine Taleb","doi":"10.1145/2752746.2752782","DOIUrl":null,"url":null,"abstract":"The availability of a wide range of embedded and external wearable sensors enables the development of new mobile applications with rich contextual information. Unfortunately, acquiring contextual information accurately and instantly comes at the expense of energy consumption and processing overhead. We propose the investigation of an efficient dynamic mobile sensing framework that allows intelligent interaction with sensors while optimizing performance metrics such as energy, accuracy, delay, and processing overhead.","PeriodicalId":325557,"journal":{"name":"Proceedings of the 2015 on MobiSys PhD Forum","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Extended Abstract: Efficient Dynamic Mobile Sensing Strategies for Context-Aware Applications\",\"authors\":\"Sirine Taleb\",\"doi\":\"10.1145/2752746.2752782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The availability of a wide range of embedded and external wearable sensors enables the development of new mobile applications with rich contextual information. Unfortunately, acquiring contextual information accurately and instantly comes at the expense of energy consumption and processing overhead. We propose the investigation of an efficient dynamic mobile sensing framework that allows intelligent interaction with sensors while optimizing performance metrics such as energy, accuracy, delay, and processing overhead.\",\"PeriodicalId\":325557,\"journal\":{\"name\":\"Proceedings of the 2015 on MobiSys PhD Forum\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 on MobiSys PhD Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2752746.2752782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 on MobiSys PhD Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2752746.2752782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extended Abstract: Efficient Dynamic Mobile Sensing Strategies for Context-Aware Applications
The availability of a wide range of embedded and external wearable sensors enables the development of new mobile applications with rich contextual information. Unfortunately, acquiring contextual information accurately and instantly comes at the expense of energy consumption and processing overhead. We propose the investigation of an efficient dynamic mobile sensing framework that allows intelligent interaction with sensors while optimizing performance metrics such as energy, accuracy, delay, and processing overhead.