Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios
The development of technologies using the Internet of Things (IoT) concept evolves daily. These numerous technologies, such as LoRa (Long Range) transceivers, find applications in various domains, including monitoring natural disasters and those caused by human error. Security vulnerabilities arise...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | IoT |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-831X/6/1/14 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849342973705191424 |
|---|---|
| author | Isadora Rezende Lopes Paulo Rodolfo da Silva Leite Coelho Rafael Pasquini Rodrigo Sanches Miani |
| author_facet | Isadora Rezende Lopes Paulo Rodolfo da Silva Leite Coelho Rafael Pasquini Rodrigo Sanches Miani |
| author_sort | Isadora Rezende Lopes |
| collection | DOAJ |
| description | The development of technologies using the Internet of Things (IoT) concept evolves daily. These numerous technologies, such as LoRa (Long Range) transceivers, find applications in various domains, including monitoring natural disasters and those caused by human error. Security vulnerabilities arise concurrently with the advancement of these new technologies. Cyberattacks seeking to disrupt device availability, such as denial-of-service (DoS) attacks, can effectively exploit vulnerabilities in LoRa devices, hindering disaster monitoring efforts. Therefore, our goal is to assess the network parameters that impact the development of a disaster monitoring environment using LoRaWAN. Specifically, we aim to identify the parameters that could result in network availability issues, whether caused by malicious actors or configuration errors. Our results indicate that certain LoRa network parameters (collision checks, packet size, and the number of nodes) can significantly affect network performance, potentially rendering this technology unsuitable for building robust disaster monitoring systems. |
| format | Article |
| id | doaj-art-3ab4fbc668904803a2f8350f07def8a6 |
| institution | Kabale University |
| issn | 2624-831X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | IoT |
| spelling | doaj-art-3ab4fbc668904803a2f8350f07def8a62025-08-20T03:43:11ZengMDPI AGIoT2624-831X2025-02-01611410.3390/iot6010014Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring ScenariosIsadora Rezende Lopes0Paulo Rodolfo da Silva Leite Coelho1Rafael Pasquini2Rodrigo Sanches Miani3Faculty of Computing, Federal University of Uberlândia, Uberlândia 38408-100, BrazilFaculty of Computing, Federal University of Uberlândia, Uberlândia 38408-100, BrazilFaculty of Computing, Federal University of Uberlândia, Uberlândia 38408-100, BrazilFaculty of Computing, Federal University of Uberlândia, Uberlândia 38408-100, BrazilThe development of technologies using the Internet of Things (IoT) concept evolves daily. These numerous technologies, such as LoRa (Long Range) transceivers, find applications in various domains, including monitoring natural disasters and those caused by human error. Security vulnerabilities arise concurrently with the advancement of these new technologies. Cyberattacks seeking to disrupt device availability, such as denial-of-service (DoS) attacks, can effectively exploit vulnerabilities in LoRa devices, hindering disaster monitoring efforts. Therefore, our goal is to assess the network parameters that impact the development of a disaster monitoring environment using LoRaWAN. Specifically, we aim to identify the parameters that could result in network availability issues, whether caused by malicious actors or configuration errors. Our results indicate that certain LoRa network parameters (collision checks, packet size, and the number of nodes) can significantly affect network performance, potentially rendering this technology unsuitable for building robust disaster monitoring systems.https://www.mdpi.com/2624-831X/6/1/14LoRa networksavailabilityinternet of thingsdisaster management |
| spellingShingle | Isadora Rezende Lopes Paulo Rodolfo da Silva Leite Coelho Rafael Pasquini Rodrigo Sanches Miani Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios IoT LoRa networks availability internet of things disaster management |
| title | Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios |
| title_full | Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios |
| title_fullStr | Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios |
| title_full_unstemmed | Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios |
| title_short | Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios |
| title_sort | evaluating the performance of lora networks a study on disaster monitoring scenarios |
| topic | LoRa networks availability internet of things disaster management |
| url | https://www.mdpi.com/2624-831X/6/1/14 |
| work_keys_str_mv | AT isadorarezendelopes evaluatingtheperformanceofloranetworksastudyondisastermonitoringscenarios AT paulorodolfodasilvaleitecoelho evaluatingtheperformanceofloranetworksastudyondisastermonitoringscenarios AT rafaelpasquini evaluatingtheperformanceofloranetworksastudyondisastermonitoringscenarios AT rodrigosanchesmiani evaluatingtheperformanceofloranetworksastudyondisastermonitoringscenarios |