Lowering the barriers to large-scale mobile crowdsensing

Yu Xiao, P. Simoens, P. Pillai, Kiryong Ha, M. Satyanarayanan
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引用次数: 110

Abstract

Mobile crowdsensing is becoming a vital technique for environment monitoring, infrastructure management, and social computing. However, deploying mobile crowdsensing applications in large-scale environments is not a trivial task. It creates a tremendous burden on application developers as well as mobile users. In this paper we try to reveal the barriers hampering the scale-up of mobile crowdsensing applications, and to offer our initial thoughts on the potential solutions to lowering the barriers.
降低大规模移动众测的门槛
移动人群感知正在成为环境监测、基础设施管理和社会计算的重要技术。然而,在大规模环境中部署移动众感应用程序并不是一项简单的任务。它给应用程序开发人员和移动用户带来了巨大的负担。在本文中,我们试图揭示阻碍移动众传感应用扩展的障碍,并提供我们对降低障碍的潜在解决方案的初步想法。
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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