A. Chatterjee, J. Chen, M. Pérez, E. Tapia, J. Tsan
{"title":"Energy efficient framework for health monitoring using mobile systems","authors":"A. Chatterjee, J. Chen, M. Pérez, E. Tapia, J. Tsan","doi":"10.1109/I2CT.2017.8226301","DOIUrl":null,"url":null,"abstract":"With the advancements of mobile phones and cellular devices, there has been a spur of various applications being used in daily life. Mobile phones in addition to being used as communication devices, also act as sensors gathering data that can be leveraged by different applications. Using the acquired data, a plethora of health monitoring applications have been designed using mobile systems. In this paper we focus on different health monitoring applications and the challenges in designing and using them. Since energy is a vital resource for operation of cellular devices, optimal utilization of it is required for sustainability of the applications executing on the device. Specifically, we introduce algorithms for using optimal energy to sense data and transmit gathered data for mobile phones. Our experimental results show that the proposed techniques can achieve an energy savings of almost 80% for data sensing applications with an average data loss of less than 5%; we also show energy savings of approximately 90% for data transmitting applications involving more than 8 sensors on a cellular device.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference for Convergence in Technology (I2CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CT.2017.8226301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
With the advancements of mobile phones and cellular devices, there has been a spur of various applications being used in daily life. Mobile phones in addition to being used as communication devices, also act as sensors gathering data that can be leveraged by different applications. Using the acquired data, a plethora of health monitoring applications have been designed using mobile systems. In this paper we focus on different health monitoring applications and the challenges in designing and using them. Since energy is a vital resource for operation of cellular devices, optimal utilization of it is required for sustainability of the applications executing on the device. Specifically, we introduce algorithms for using optimal energy to sense data and transmit gathered data for mobile phones. Our experimental results show that the proposed techniques can achieve an energy savings of almost 80% for data sensing applications with an average data loss of less than 5%; we also show energy savings of approximately 90% for data transmitting applications involving more than 8 sensors on a cellular device.