Experimental and Simulation Study of a LoRaWAN-Assisted Relay for IoUT Communication

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Green Communications and Networking Pub Date : 2023-10-16 DOI:10.1109/TGCN.2023.3324638
Javad Bolboli;Maaz Salman;Ramavath Prasad Naik;Wan-Young Chung
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Abstract

A low-power, low-latency, and long-range (LoRa) relay is developed using mixed-frequency underwater wireless communication systems (UWCSs) for LoRa wide-area network. First, the feasibility of utilizing LoRa in an underwater-to-above-water communication link is examined through theoretical and experimental approaches. In addition, the communication link quality is evaluated using the received signal strength indicator, signal-to-noise ratio, and packet delivery ratio at different depths, horizontal distances, and LoRa physical layer parameters. Finally, considering the experimentally observed challenges of UWCSs, the LoRa-based relay is designed, and its usability is validated by comparing the communication systems without and with the relay (from underwater to the water surface to the above-water) in terms of LoRa physical layer parameters, transmission range, and link quality indices. Moreover, the network latency and battery consumption of the whole system are studied without and with the relay using different LoRa physical layer parameters, and the optimum parameters are presented. The results show that the designed relay can improve communication performance without delay and power consumption concerns.
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用于物联网通信的 LoRaWAN 辅助中继器的实验与仿真研究
利用混合频率水下无线通信系统(UWCS)为 LoRa 广域网络开发了一种低功耗、低延迟、远距离(LoRa)中继器。首先,通过理论和实验方法研究了在水下到水面的通信链路中使用 LoRa 的可行性。此外,在不同深度、水平距离和 LoRa 物理层参数下,使用接收信号强度指标、信噪比和数据包传送比评估了通信链路质量。最后,考虑到实验观察到的 UWCS 面临的挑战,设计了基于 LoRa 的中继器,并通过比较无中继器和有中继器(从水下到水面再到水面)的通信系统在 LoRa 物理层参数、传输距离和链路质量指标方面的可用性进行了验证。此外,还使用不同的 LoRa 物理层参数研究了无中继和有中继时整个系统的网络延迟和电池消耗,并给出了最佳参数。结果表明,所设计的中继器可以提高通信性能,而无需担心延迟和功耗问题。
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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