物联网应用的混合低功耗广域网架构设计与实现

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
B. Shilpa, Rajesh Kumar Jha, Vaibhav Naware, Anuradha Vattem, Aftab M. Hussain
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引用次数: 0

摘要

物联网(IoT)设备和应用的快速扩散导致对低功耗和广域网(LPWAN)解决方案的需求不断增加。尽管低功耗通信技术发展迅速,但物联网网络的采用仍然面临着一些挑战。这一领域的同质化要求允许多种技术之间的互操作性,这是目前最大的障碍之一。在本文中,我们介绍了混合LPWAN架构的设计和实现,该架构可以通过利用两种LPWAN技术,无线智能泛在网络(Wi-SUN)和远程(LoRa),实现物联网应用的广域通信覆盖和低功耗。特别是,LoRa用于远程通信,而Wi-SUN用于低延迟网状网络。此外,我们在大学校园实施了智能路灯控制系统,作为实际部署,以展示混合网络的效率。我们的研究结果表明,与LoRa或Wi-SUN网络相比,混合LPWAN架构提供了更好的覆盖范围和容量,同时消耗更少的功率。本研究的结果证明了所提出的混合LPWAN架构作为下一代物联网应用的可行解决方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of hybrid low power wide area network architecture for IoT applications
The rapid proliferation of Internet of Things (IoT) devices and applications has resulted in an increasing demand for Low Power and Wide Area Network (LPWAN) solutions. The adoption of IoT networks still faces several challenges, despite the rapid advancement of low-power communication technology. Homogenizing this sector requires allowing interoperability between many technologies, which is now one of the largest obstacles. In this article, we present the design and implementation of the hybrid LPWAN architecture that can accomplish wide-area communication coverage and low-power consumption for IoT applications by leveraging two LPWAN technologies, Wireless Smart Ubiquitous Network (Wi-SUN) and Long Range (LoRa). In particular, LoRa is used for long-range communication, and Wi-SUN for a low-latency mesh network. Additionally, we implemented smart street light controlling system as a real-world deployment at the university campus to showcase the efficiency of the hybrid network. Our results demonstrate that the hybrid LPWAN architecture provides a better coverage and capacity while consuming less power than that of the LoRa or Wi-SUN network. The results of this study demonstrate the effectiveness of the proposed hybrid LPWAN architecture as a viable solution for next-generation IoT applications.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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