Large-Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems
Large-Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems
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DOI：
10.1109/jsen.2017.2725638
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发表时间：
2017-12-01
影响因子：
4.3
通讯作者：
Kantarci, Burak
中科院分区：
文献类型：
--
作者：
Habibzadeh, Hadi;Qin, Zhou;Kantarci, Burak
过去十年，人们对智慧城市的兴趣激增，智能医疗、智能照明和智能交通等一系列应用有望大幅提高这些服务的质量和效率。这些应用程序的骨架由分布式传感器网络构成，该网络捕获数据、进行预处理并将其传输到中心进行进一步处理。虽然这些传感器通常被认为是作为应用程序的一部分永久部署的传感设备的无线网络，但新兴的移动人群感知 (MCS) 概念规定了一个截然不同的传感平台；由志愿者群体拥有的智能手机网络可以捕获、预处理数据并将其传输到同一中心。在本文中，我们将这两种形式的传感器称为专用传感器和非专用传感器。虽然专用传感器意味着更高的部署和维护成本，但 MCS 概念也存在已知的实施挑战，例如激励人群、确保捕获数据的可信度以及覆盖广泛的传感区域。由于每个选项的优缺点，决定哪个更好就成为一个重要的答案。在本文中，我们对两种类型的传感器进行了深入研究，并根据给定的应用平台得出结论，确定哪一种传感器成为更有利的选择。
The past decade has witnessed an explosion of interest in smart cities in which a set of applications, such as smart healthcare, smart lighting, and smart transportation promise to drastically improve the quality and efficiency of these services. The skeleton of these applications is formed by a network of distributed sensors that captures data, pre-processes, and transmits it to a center for further processing. While these sensors are generally perceived to be a wireless network of sensing devices that are deployed permanently as part of an application, the emerging mobile crowd-sensing (MCS) concept prescribes a drastically different platform for sensing; a network of smartphones, owned by a volunteer crowd, can capture, pre-process, and transmit the data to the same center. We call these two forms of sensors dedicated and non-dedicated sensors in this paper. While dedicated sensors imply higher deployment and maintenance costs, the MCS concept also has known implementation challenges, such as incentivizing the crowd and ensuring the trustworthiness of the captured data, and covering a wide sensing area. Due to the pros/cons of each option, the decision as to which one is better becomes a non-trivial answer. In this paper, we conduct a thorough study of both types of sensors and draw conclusions about which one becomes a favourable option based on a given application platform.