Location tracking using LoRa

Hashim, Norlezah; Idris, Fakrulradzi; Aziz, Tuan Nur Anisa Tuan Ab; Johari, Siti Halma; Nor, Rozilawati Mohd; Wahab, Norfariza Ab

doi:10.11591/ijece.v11i4.pp3123-3128

Cited by 10 publications

(5 citation statements)

References 19 publications

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“…The development of a location monitoring system using LoRa and global positioning system (GPS) module was also carried out in [14], along with the analysis of the system's detectable range of data, battery consumption, and received signal strength indicator (RSSI). The deployment experiment showed that the system was able to detect the transmitted data within a distance of 290 meter.…”

Section: Multi Gatewaymentioning

confidence: 99%

Implementation LoRaWAN End Node Tracking

Sagala¹,

Lubis

Sitanggang³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This study is a trial of the LoRaWAN LGT92 End Node connected to the LoRa RAK7243 Gateway. These end nodes and gateways were registered on The Things Network (TTN) server. Therefore, several scenarios were made to test the performance of communication. Firstly, the signal strength received by the gateway was measured, followed by mobile node tracking using one or two gateways. During the test processes, the position of the LGT92 node was successfully sent in real-time to the TTN server and its coordinates were also displayed on the dashboard using Cayenne. The range achieved for RAK7243 is 900 m in NLoS. Furthermore, the position of both nodes was displayed on the map using the Cayenne application. The future work is to build the proposed design in real system scenarios.

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Section: Multi Gatewaymentioning

confidence: 99%

Implementation LoRaWAN End Node Tracking

Sagala¹,

Lubis

Sitanggang³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The main objective of this research is to identify the optimum module that can be used in tracking system projects in terms of accuracy of altitude and speed. Based on Table 1, Hashim et al, [10] utilized Lora GPS for their system, while the other researchers have been applying GPS Neo 6m. Systems in Zohari and Mohd [7], and Hashim et al, [10] all use Arduino as their microcontroller whereas system for Pranay et al, [9] employs two microcontrollers, Arduino and NodeMCU.…”

Section: Introductionmentioning

confidence: 99%

“…Based on Table 1, Hashim et al, [10] utilized Lora GPS for their system, while the other researchers have been applying GPS Neo 6m. Systems in Zohari and Mohd [7], and Hashim et al, [10] all use Arduino as their microcontroller whereas system for Pranay et al, [9] employs two microcontrollers, Arduino and NodeMCU. Juwairiyah et al, [8] applied NodeMCU as the microcontroller in the system.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Tracking System Based on Internet of Things Utilizing TTGO T-CALL ESP32 SIM800l

Azlina Idris,

Muhamad Nor Iman,

Siti Maisurah Sulong

et al. 2024

ARASET

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Nowadays, cases of stolen vehicles are increasing rapidly, particularly in urban areas. The stolen vehicle is difficult for the owner to trace since the GPS system is rarely used due to its expensive cost. Thus, the purpose of this research is to analyze the accuracy of the real-time monitoring provided by the Blynk application using information obtained from GPS modules and to design a simple and compact smart vehicle monitoring anti-theft system utilizing the TTGO T-CALL ESP32 SIM800l with the Blynk application. Next, a tracking system is configured and developed by utilizing the Arduino IDE software to flash the code into the microcontroller and the Internet of Things platform as the connectivity to the Blynk App. Furthermore, the usability and functionality of the Global Positioning System (GPS) and TTGO T-CALL ESP32 SIM800l are essential in determining the vehicle's location. The use of TTGO T-CALL ESP32 SIM800l is to make the device more compact than previous research. The data has been obtained using a comparison of two microcontrollers; TTGO T-Call ESP32 SIM800l and the Arduino Mega connected to the GSM SIM800l. The data will be analyzed under two different parameters; the accuracy of altitude and speed. It can be seen that the TTGO T-Call ESP32 SIM800l has a lower percentage of latitude and longitude errors. It also has great performance in terms of speed accuracy, which is 88.5%.

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“…As the end gadgets are energy-constrained, the IoT requires minimal energy usage and far-reaching transmission-based wireless communication methods [5]. The requirements of the IoT are being met by long range (LoRa) which stands for long range that provide reliable and improved connectivity for sending information from field to a remote server without paying any fees [6], [7]. The IoT will be able to connect to a huge number of end nodes spread across a vast geographic area with LoRa technology, an advanced agriculture support tool [8].…”

Section: Introductionmentioning

confidence: 99%

Long range based effective field monitoring system

Rajani Kumari,

Suneetha,

Sri Lakshmi

et al. 2024

IJEECS

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<p><span>Adoption of the internet of things (IoT) is moving forward quickly because of the developments in communication protocols and technology involving sensors. The IoT is promoting real-time agricultural field monitoring from any distant place. For the IoT to be implemented effectively there are a number of agricultural issues related to less power usage and long-distance transfer of data are to be addressed. By using LoRa, which is a wireless communication system for IoT applications, these difficulties can be avoided when sending information from fields of crops to a web server. Acustomized sensor node and LoRa are used in this work to transmit continuously updated information to a remote server. Monitoring the quality of water, and reducing wasteful use of water are the main goals.</span></p>

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Location tracking using LoRa

Cited by 10 publications

References 19 publications

Implementation LoRaWAN End Node Tracking

Implementation LoRaWAN End Node Tracking

Vehicle Tracking System Based on Internet of Things Utilizing TTGO T-CALL ESP32 SIM800l

Long range based effective field monitoring system

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