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A Software Architecture for Energy Consumption Optimization in Location-Based Mobile Applications

机译:基于位置的移动应用中的能耗优化软件架构

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In the mobile internet era, location-based services have been widely used in mobile applications for delivering novel services to end-users. As battery technologies have long been the bottleneck holding back the development of mobile applications, a large body of research has focused on saving energy. This paper proposes an adaptive middleware architecture for mobile applications using location-based services. We have developed this solution after analyzing popular positioning techniques, such as GPS, Wi-Fi, and Cell Towers. The proposed middleware is adopted to connect the upper layer of location-based applications with the lower hardware layer of the host mobile phone. Adaptive location sensor policies, scenarios adapters and mechanism managers are used to identify the optimal energy-saving positioning methods. To verify the validity of this novel architecture, a preliminary application with GPS and Cell-Tower functionality is implemented and analyzed. The proposed architecture is evaluated both in theory and by experimentation.
机译:在移动互联网时代,基于位置的服务已广泛用于移动应用程序,用于向最终用户提供新颖的服务。由于电池技术长期以来一直是遏制移动应用发展的瓶颈,大量的研究专注于节约能源。本文提出了一种使用基于位置的服务的移动应用程序的自适应中间件架构。在分析流行定位技术之后,我们开发了该解决方案,例如GPS,Wi-Fi和Cell Towers。采用所提出的中间件将基于位置的应用的上层与主机移动电话的较低的硬件层连接。自适应位置传感器策略,方案适配器和机制管理器用于识别最佳节能定位方法。为了验证本新颖架构的有效性,实现并分析了具有GPS和Cell-Tower功能的初步应用程序。拟议的架构在理论上和实验中进行评估。

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