Fog-based Data Offloading in Urban IoT Scenarios
Fog-based Data Offloading in Urban IoT Scenarios
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DOI：
10.1109/infocom.2019.8737503
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
P. Kortoçi;Liang Zheng;Carlee Joe-Wong;M. D. Francesco;M. Chiang
中科院分区：
文献类型：
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作者：
P. Kortoçi;Liang Zheng;Carlee Joe-Wong;M. D. Francesco;M. Chiang
城市环境是物联网(IoT)特别重要的应用场景。这些环境通常是密集和动态的；相比之下，物联网设备资源有限，因此使可靠的数据收集和可扩展的协调成为一项挑战。这项工作利用FOG网络范例设计了一种多层数据卸载协议，适用于城市物联网场景中以数据为中心的各种应用。具体地说，它利用网络中的异构性，以便传感器可以相互协作地将数据卸载到彼此或移动网关。其次，它通过成功上报到云的数据量来评估此分流过程的性能。详细地说，它提供了数据丢失率作为随机过程的分析表征，并推导出了一种轻量级但高效的协作数据卸载方法。最后，通过对真实城市环境中的人员流动数据进行分析和大量的轨迹驱动模拟，结果表明，基于雾的解决方案显著降低了数据丢失率。
Urban environments are a particularly important application scenario for the Internet of Things (IoT). These environments are usually dense and dynamic; in contrast, IoT devices are resource-constrained, thus making reliable data collection and scalable coordination a challenge. This work leverages the fog networking paradigm to devise a multi-tier data offloading protocol suitable for diverse data-centric applications in urban IoT scenarios. Specifically, it takes advantage of heterogeneity in the network so that sensors can collaboratively offload data to each other or to mobile gateways. Second, it evaluates the performance of this offloading process through the amount of data successfully reported to the cloud. In detail, it provides an analytical characterization of data drop-off rates as a random process and derives a light-weight yet efficient method for collaborative data offloading. Finally, it shows that the proposed fog-based solution significantly decreases the data drop-off rate through both analysis and extensive trace-driven simulations based on human mobility data from real urban settings.