论文标题

以人们为中心的计算和通信

People-centric computing and communications in Smart Cities

论文作者

Delmastro, Franca, Arnaboldi, valerio, Conti, Marco

论文摘要

移动技术的极端性质,以及用户需要与她的个人设备不断互动并始终连接,并加强以用户为中心的方法,以设计和开发新的通信和计算解决方案。如今,用户不仅代表了该技术的最终用途,而且通过扮演不同的角色来积极地促进其演变:他们通过社交网络和虚拟传感器分享内容和经验,通过使用感应设备在环境中自由移动。智能城市代表了通过移动技术积极参与积极参与的重要参考方案。它涉及多个应用程序域并定义不同级别的用户参与度。参与性传感,机会主义感应和移动社交网络目前是一些以人为中心的一些最有前途的范式。此外,它们的集成可以通过新服务和应用程序进一步改善用户参与。在本文中,我们介绍了SmartCitizen应用程序,这是一个在智能城市项目框架内设计的MSN应用程序,旨在刺激公民积极参与与城市生活质量相关的有用内容。该应用程序是在上下文和社会意识中的中间件平台(客串)之上开发的,能够整合以人为中心的计算机范式的主要功能,从而减轻了应用程序开发人员的工作。现有的中间件平台通常集中在一个以单一以人为中心的范式上,将有限的功能导出到移动应用程序中。客串克服了这些限制。本文中显示的实验结果还可以代表以人为中心的移动应用程序开发的技术指南,并包含不同的应用领域。

The extreme pervasive nature of mobile technologies, together with the users need to continuously interact with her personal devices and to be always connected, strengthen the user-centric approach to design and develop new communication and computing solutions. Nowadays users not only represent the final utilizers of the technology, but they actively contribute to its evolution by assuming different roles: they act as humans, by sharing contents and experiences through social networks, and as virtual sensors, by moving freely in the environment with their sensing devices. Smart cities represent an important reference scenario for the active participation of users through mobile technologies. It involves multiple application domains and defines different levels of user engagement. Participatory sensing, opportunistic sensing and Mobile Social Networks currently represent some of the most promising people-centric paradigms. In addition, their integration can further improve the user involvement through new services and applications. In this paper we present SmartCitizen app, a MSN application designed in the framework of a smart city project to stimulate the active participation of citizens in generating and sharing useful contents related to the quality of life in their city. The app has been developed on top of a context- and social-aware middleware platform (CAMEO) able to integrate the main features of people-centric computing paradigms, lightening the app developer effort. Existing middleware platforms generally focus on one single people-centric paradigm, exporting a limited set of features to mobile applications. CAMEO overcomes these limitations. Experimental results shown in this paper can also represent the technical guidelines for the development of heterogeneous people-centric mobile applications, embracing different application domains.

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