Mobility in Low-Power Wide-Area Network over White Spaces
Mobility in Low-Power Wide-Area Network over White Spaces
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DOI：
10.5555/3451271.3451283
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Abusayeed Saifullah;Mahbubur Rahman;Dali Ismail;Chenyang Lu;Jie Liu;Ranveer Chandra
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文献类型：
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作者：
Abusayeed Saifullah;Mahbubur Rahman;Dali Ismail;Chenyang Lu;Jie Liu;Ranveer Chandra
尽管移动设备在各种广域物联网应用（例如智能城市、智能农业）中激增，但当前的低功耗广域网（LPWAN）并未设计用于有效支持移动节点。在本文中，我们建议处理 SNOW（白色空间传感器网络）中的移动性，SNOW 是一种在电视白色空间中运行的 LPWAN。 SNOW 通过 OFDM 的分布式实施支持基站 (BS) 和众多低功耗节点之间的大规模并发通信。在 SNOW 中，由于其基于 OFDM 的设计，载波间干扰 (ICI) 在移动性下更加明显。由于低功耗节点不具备确定空白区域的能力，空白区域的地理空间变化也给网络内和网络间移动性带来了挑战。为了处理移动性对 ICI 的影响，我们提出了一种动态载波频率偏移估计和补偿技术，该技术考虑了多普勒频移，而无需知道节点的速度。我们还建议通过对节点进行移动感知频谱分配来规避移动性对空白地理空间变化的影响。为了实现节点在不同 SNOW 之间的移动性，我们提出了一种高效的切换管理，通过快速且节能的 BS 发现以及通过结合时域和频域能量感测与 BS 快速关联。在大城市和室内进行的 SNOW 部署实验表明，我们提出的方法可以实现跨多个不同 SNOW 的移动性，并在移动性下提供可靠性、延迟和能耗方面的稳健性。
Despite the proliferation of mobile devices in various wide-area Internet of Things applications (e.g., smart city, smart farming), current Low-Power Wide-Area Networks (LPWANs) are not designed to effectively support mobile nodes. In this paper, we propose to handle mobility in SNOW (Sensor Network Over White spaces), an LPWAN that operates in the TV white spaces. SNOW supports massive concurrent communication between a base station (BS) and numerous low-power nodes through a distributed implementation of OFDM. In SNOW, inter-carrier interference (ICI) is more pronounced under mobility due to its OFDM based design. Geospatial variation of white spaces also raises challenges in both intra-and inter-network mobility as the low-power nodes are not equipped to determine white spaces. To handle mobility impacts on ICI, we propose a dynamic carrier frequency offset estimation and compensation technique which takes into account Doppler shifts without requiring to know the speed of the nodes. We also propose to circumvent the mobility impacts on geospatial variation of white space through a mobility-aware spectrum assignment to nodes. To enable mobility of the nodes across different SNOWs, we propose an efficient handoff management through a fast and energy-efficient BS discovery and quick association with the BS by combining time and frequency domain energy-sensing. Experiments through SNOW de-ployments in a large metropolitan city and indoors show that our proposed approaches enable mobility across multiple different SNOWs and provide robustness in terms of reliability, latency, and energy consumption under mobility.