Smart data synchronization in m-Health monitoring applications

A. Benharref, M. Serhani, R. Mizouni
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引用次数: 2

Abstract

Nowadays, mobile applications/devices have become the trends, especially, when they were gradually shifted from basic communication services to supporting more sophisticated service provisioning. Mobile applications are usually very light, are nowadays likely to be often connected to the Internet, and can be used quite easily. However, these applications exhibit some challenges related to limited resources they have access to, including limited processing power, memory, storage size, battery power, and intermittent network connection. In fact, these considerations have to be taken seriously into consideration when developing mobile applications especially if those applications will be used for critical services, for example, to collect and report vital health data over a long period of time. In this paper, we study the use of mobile applications for monitoring patient's vital. Mobile devices, through an application, are connected to body-strapped biosensors to collect and synchronize these parameters with information systems. This synchronization should be done in such a way that the cost of synchronization is kept low and urgent readings are delivered as soon as possible. To optimize the synchronization process and reduce its cost, we propose and validate cost-oriented algorithms. A case study is developed to illustrate the applicability and effectiveness of our innovative techniques in making continuous monitoring an efficient process.
移动健康监测应用中的智能数据同步
如今,移动应用/设备已经成为一种趋势,尤其是当它们逐渐从基本的通信服务转向支持更复杂的服务供应时。移动应用程序通常非常轻,现在可能经常连接到互联网,并且可以很容易地使用。然而,这些应用程序表现出一些挑战,这些挑战与它们可以访问的有限资源有关,包括有限的处理能力、内存、存储大小、电池电量和间歇性网络连接。事实上,在开发移动应用程序时必须认真考虑这些因素,特别是如果这些应用程序将用于关键服务,例如,在很长一段时间内收集和报告重要的健康数据。在本文中,我们研究了使用移动应用程序来监测患者的生命。移动设备通过应用程序连接到绑在身上的生物传感器,以收集这些参数并与信息系统同步。这种同步应该以这样一种方式进行,即保持同步的成本较低,并尽快传递紧急读数。为了优化同步过程并降低其成本,我们提出并验证了以成本为导向的算法。通过一个案例研究来说明我们的创新技术在使持续监测成为一个有效过程中的适用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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