@migo: A Comprehensive Middleware Solution for Participatory Sensing Applications

R. Bachiller, Nelson Matthys, P. Cid, W. Joosen, D. Hughes, Kristof Van Laerhoven
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引用次数: 5

Abstract

In the participatory sensing model, humans may serve as opportunistic sensors and flexible actuators while also consuming sensing services. Integrating humans into sensing systems has the potential to increase scale and reduce costs. However, contemporary participatory sensing software provides poor consideration of user dynamism, which includes: mobility across networks, mobility across devices and context-awareness. To address these limitations we propose the User Component and User Bindings. The former represents the user as a first class reconfigurable element of evolving and shared participatory sensing platforms. The latter allows the middleware to support multiple communications channels including Online Social Networks (OSN) to connect users with sensing applications. Our approach increases user participation, reduces out-of-context interactions and only consumes a limited amount of energy by sharing context information between applications. We support these claims by evaluating our approach on a two weeks experiment in which three participants take part in three concurrent participatory applications.
面向参与式传感应用的综合中间件解决方案
在参与式感知模型中,人类可以作为机会传感器和柔性执行器,同时也消费感知服务。将人类融入传感系统有可能扩大规模并降低成本。然而,当代参与式传感软件对用户动态性的考虑很差,其中包括:跨网络的移动性、跨设备的移动性和上下文感知。为了解决这些限制,我们提出了用户组件和用户绑定。前者将用户表示为进化和共享参与式感知平台的第一类可重构元素。后者允许中间件支持包括OSN (Online Social Networks)在内的多种通信通道,将用户与传感应用连接起来。我们的方法增加了用户参与,减少了上下文外的交互,并且通过在应用程序之间共享上下文信息只消耗了有限的能量。我们通过在一个两周的实验中评估我们的方法来支持这些说法,在这个实验中,三个参与者同时参与了三个参与式应用程序。
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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