Multi-Technology Data Collection: Short and Long Range Communications
Multi-Technology Data Collection: Short and Long Range Communications
复制标题
多技术数据收集：短程和远程通信
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
S. Sargento
中科院分区：
文献类型：
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作者：
Ruben Oliveira;Lucas Guardalben;Miguel Luís;S. Sargento
低功耗广域网（LPWAN）是一组在物联网（IoT）领域不断发展的技术。由于它们的长距离能力和低能耗，LPWAN是偶尔发送小数据的理想技术。凭借其独特的特性，LPWAN可用于许多应用和不同的环境，如城市，农村甚至室内。将LPWAN技术之一的远程（LoRa）集成到多技术数据收集平台中是这项工作的关键目标。这一目标通过以下建议的方法来解决：（1）基于传感器节点集群的组织;（2）通过LoRa技术提供可靠通信的媒体访问控制（MAC）协议;最后，（3）根据其分类选择应同时使用哪些无线技术来转发传感数据的连接管理器。评估实验旨在了解哪种类型的参数会影响整体解决方案的性能，以及数据收集平台中多技术方法的优势。在真实的场景中的结果表明，所提出的方法能够实现同时多技术通信，同时提供不同类型的数据的可靠性和低延迟。
Low-Power Wide Area Networks (LPWANs) are a set of technologies that are growing in the field of the Internet of Things (IoT). Due to their long range capabilities and low energy consumption, LPWAN are the ideal technologies to send small data occasionally. With their unique characteristics, LPWANs can be used in many applications and in different environments such as urban, rural and even indoor. The integration of one of the LPWAN technologies, Long Range (LoRa), in a multi-technology data gathering platform is the key objective of this work. This objective is addressed with the following proposed approaches: (1) an organization based in clusters of sensor nodes; (2) a Medium Access Control (MAC) protocol that provides reliable communications through LoRa technology; and finally, (3) a connection manager that selects which wireless technologies should be used simultaneously to forward the sensing data, according to its classification. The evaluation experiments aim to understand which type of parameters can influence the performance of the overall proposed solution, as well as the advantages of a multi-technology approach in a data gathering platform. The results in a real scenario show that the proposed approach is able to achieve simultaneous multi-technology communication while delivering different types of data with reliability and low latency.
DOI：
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发表时间：
2016-02
期刊：
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影响因子：
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作者：
Martin C. Bor;J. Vidler;U. Roedig
通讯作者：
Martin C. Bor;J. Vidler;U. Roedig
影响因子：
35.6
作者：
Bachir, Abdelmalik;Dohler, Mischa;Leung, Kin K.
通讯作者：
Leung, Kin K.