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Smart city article details

Title	Lora-Based Iot Network Assessment In Rural And Urban Scenarios
ID_Doc	35624
Authors	Griva A.I.; Boursianis A.D.; Wan S.; Sarigiannidis P.; Psannis K.E.; Karagiannidis G.; Goudos S.K.
Year	2023
Published	Sensors, 23, 3
DOI	http://dx.doi.org/10.3390/s23031695
Abstract	The implementation of smart networks has made great progress due to the development of the Internet of Things (IoT). LoRa is one of the most prominent technologies in the Internet of Things industry, primarily due to its ability to achieve long-distance transmission while consuming less power. In this work, we modeled different environments and assessed the performances of networks by observing the effects of various factors and network parameters. The path loss model, the deployment area size, the transmission power, the spreading factor, the number of nodes and gateways, and the antenna gain have a significant effect on the main performance metrics such as the energy consumption and the data extraction rate of a LoRa network. In order to examine these parameters, we performed simulations in OMNeT++ using the open source framework FLoRa. The scenarios which were investigated in this work include the simulation of rural and urban environments and a parking area model. The results indicate that the optimization of the key parameters could have a huge impact on the deployment of smart networks. © 2023 by the authors.
Author Keywords	data extraction rate (DER); Internet of Things (IoT); long-range network; low-power wide-area network (LPWAN); network energy consumption (NEC); smart agriculture; smart city

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