Crowd-Sourced Data Collection for Urban Monitoring via Mobile Sensors
Crowd-Sourced Data Collection for Urban Monitoring via Mobile Sensors
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DOI：
10.1145/3093895
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发表时间：
2017-12-01
影响因子：
5.3
通讯作者：
Navathe, Shamkant B.
中科院分区：
文献类型：
--
作者：
Longo, Antonella;Zappatore, Marco;Navathe, Shamkant B.
大量研究涉及物联网和互联社区。通过利用不断增长的云计算解决方案和移动设备的使用，可以利用互联社区的传感功能。移动传感器的普及还使得移动人群感知（MCS）范式成为可能，该范式旨在使用移动嵌入式传感器来扩展对广阔城市地区多种（环境）现象的监测。在本文中，我们讨论了基于云的平台的方法，为在城市场景中应用人群感知铺平了道路。基于此范式，我们针对城市地区的噪声、空气、电磁场等多种污染物的环境监测实施了完整的解决方案。通过广泛的实验，特别是在噪音污染方面，我们展示了拟议的基础设施如何展现出从互联社区收集数据的能力，并为改善公民生活质量所需的服务提供无缝支持，并最终帮助城市决策者进行城市规划。
A considerable amount of research has addressed Internet of Things and connected communities. It is possible to exploit the sensing capabilities of connected communities, by leveraging the continuously growing use of cloud computing solutions and mobile devices. The pervasiveness of mobile sensors also enables the Mobile Crowd Sensing (MCS) paradigm, which aims at using mobile-embedded sensors to extend monitoring of multiple (environmental) phenomena in expansive urban areas. In this article, we discuss our approach with a cloud-based platform to pave the way for applying crowd sensing in urban scenarios. We have implemented a complete solution for environmental monitoring of several pollutants, like noise, air, electromagnetic fields, and so on in an urban area based on this paradigm. Through extensive experimentation, specifically on noise pollution, we show how the proposed infrastructure exhibits the ability to collect data from connected communities, and enables a seamless support of services needed for improving citizens' quality of life and eventually helps city decision makers in urban planning.