LoRa-Based Asset Tracking System with Data Encryption Using AES-256 Algorithm

Amelia, Fetty; Ramadhani, Muhammad Fahmi

doi:10.1109/icramet56917.2022.9991210

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Objectives Architecture Scenarios Tools Results [9] The research evaluated LoRa technology's performance through noise measurements, link quality analysis, and signal quality analysis, involving extensive testing, equipment exchange, and long-term monitoring.…”

Section: Referencementioning

confidence: 99%

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Performance Evaluation of LoRa Communications in Harsh Industrial Environments

Aarif,

Tabaa,

Hachimi

2023

JSAN

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LoRa technology is being integrated into industrial applications as part of Industry 4.0 owing to its longer range and low power consumption. However, noise, interference, and the fading effect all have a negative impact on LoRa performance in an industrial environment, necessitating solutions to ensure reliable communication. This paper evaluates and compares LoRa’s performance in terms of packet error rate (PER) with and without forward error correction (FEC) in an industrial environment. The impact of integrating an infinite impulse response (IIR) or finite impulse response (FIR) filter into the LoRa architecture is also evaluated. Simulations are carried out in MATLAB at 868 MHz with a bandwidth of 125 kHz and two spreading factors of 7 and 12. Many-to-one and one-to-many communication modes are considered, as are line of sight (LOS) and non-line of Sight (NLOS) conditions. Simulation results show that, compared to an environment with additive white Gaussian noise (AWGN), LoRa technology suffers a significant degradation of its PER performance in industrial environments. Nevertheless, the use of forward error correction (FEC) contributes positively to offsetting this decline. Depending on the configuration and architecture examined, the gain in signal-to-noise ratio (SNR) using a 4/8 coding ratio ranges from 7 dB to 11 dB. Integrating IIR or FIR filters also boosts performance, with additional SNR gains ranging from 2 dB to 6 dB, depending on the simulation parameters.

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Section: Referencementioning

confidence: 99%

“…It enables low-speed data transmission over long distances with low power consumption and minimal infrastructure [7]. It is used in machine monitoring, asset tracking, energy management, and environmental monitoring [8][9][10][11][12]. However, the quality of data transmission via LoRa can be affected by environmental constraints [13].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of LoRa Communications in Harsh Industrial Environments

Aarif,

Tabaa,

Hachimi

2023

JSAN

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“…It makes low-speed data transfer possible over great distances with little infrastructure and low power usage. It is employed in energy management, asset tracking, environmental monitoring, and machine monitoring applications [13]. Indeed, several issues can make implementing wireless communications in industrial settings challenging.…”

Section: Introductionmentioning

confidence: 99%

Improving the Reliability of Long-Range Communication against Interference for Non-Line-of-Sight Conditions in Industrial Internet of Things Applications

Abdallah,

Khriji,

Chéour

et al. 2024

Applied Sciences

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LoRa technology, renowned for its low-power, long-range capabilities in IoT applications, faces challenges in real-world scenarios, including fading channels, interference, and environmental obstacles. This paper aims to study the reliability of LoRa in Non-Line-of-Sight (NLoS) conditions and in noisy and mobile environments for Industrial IoT (IIoT) applications. Experimental measurements consider factors like vegetation and infrastructure, introducing mobility to replicate NLoS conditions. Utilizing an open-source LoRa Physical Layer (PHY) Software-Defined Radio (SDR) prototype developed with GNU Radio, we assess communication reliability through metrics such as Block Error Rate (BLER), Signal-to-Noise-Interference-plus-Noise Ratio (SINR), and data rate. The study reveals the estimated overall reliability of the LoRa signal at 90.23%, emphasizing specific configuration details. This work contributes to the broader field of LoRa communication, encompassing hardware, software, protocols, and management, enhancing our understanding of LoRa’s dependability in challenging IIoT environments.

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