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低功耗蓝牙网状网络:一项综述。

Bluetooth Low Energy Mesh Networks: A Survey.

作者信息

Darroudi Seyed Mahdi, Gomez Carles

机构信息

Department of Network Engineering, Universitat Polit̀ecnica de Catalunya, Castelldefels 08860, Spain.

出版信息

Sensors (Basel). 2017 Jun 22;17(7):1467. doi: 10.3390/s17071467.

DOI:10.3390/s17071467
PMID:28640183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539726/
Abstract

Bluetooth Low Energy (BLE) has gained significant momentum. However, the original design of BLE focused on star topology networking, which limits network coverage range and precludes end-to-end path diversity. In contrast, other competing technologies overcome such constraints by supporting the mesh network topology. For these reasons, academia, industry, and standards development organizations have been designing solutions to enable BLE mesh networks. Nevertheless, the literature lacks a consolidated view on this emerging area. This paper comprehensively surveys state of the art BLE mesh networking. We first provide a taxonomy of BLE mesh network solutions. We then review the solutions, describing the variety of approaches that leverage existing BLE functionality to enable BLE mesh networks. We identify crucial aspects of BLE mesh network solutions and discuss their advantages and drawbacks. Finally, we highlight currently open issues.

摘要

低功耗蓝牙(BLE)已获得显著发展势头。然而,BLE的原始设计专注于星型拓扑网络,这限制了网络覆盖范围并排除了端到端路径多样性。相比之下,其他竞争技术通过支持网状网络拓扑克服了此类限制。出于这些原因,学术界、行业和标准制定组织一直在设计实现BLE网状网络的解决方案。尽管如此,文献中缺乏对这一新兴领域的综合观点。本文全面综述了BLE网状网络的技术现状。我们首先提供了BLE网状网络解决方案的分类法。然后我们回顾这些解决方案,描述利用现有BLE功能实现BLE网状网络的各种方法。我们确定了BLE网状网络解决方案的关键方面,并讨论了它们的优缺点。最后,我们强调了当前存在的开放问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2d/5539726/2fdaf20647ca/sensors-17-01467-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2d/5539726/bb55ad3aff14/sensors-17-01467-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2d/5539726/2fdaf20647ca/sensors-17-01467-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2d/5539726/bb55ad3aff14/sensors-17-01467-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2d/5539726/2fdaf20647ca/sensors-17-01467-g002.jpg

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