ArticleSensors (Basel, Switzerland)2023
LoRa-Based IoT Network Assessment in Rural and Urban Scenarios.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Experimental Evaluation of LoRaWAN Connectivity Reliability in Remote Rural Areas of Mozambique.Sensors (Basel, Switzerland) · 2025Article
- Large-Scale Continuous Monitoring of Greenhouse Gases with Adaptive LoRaWAN in CN470-510 MHz Band.Sensors (Basel, Switzerland) · 2025Article
- A Critical Review of the Propagation Models Employed in LoRa Systems.Sensors (Basel, Switzerland) · 2024Review
- Beacon Success Rate versus Gateway Density in Sub-GHz Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Rapid IoT Prototyping: A Visual Programming Tool and Hardware Solutions for LoRa-Based Devices.Sensors (Basel, Switzerland) · 2023Article
- A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers.Sensors (Basel, Switzerland) · 2023Review
- Internet of Things-based sustainable environment management for large indoor facilities.PeerJ. Computer science · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.