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LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation

Computers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
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Sensors 2020, 20(15), 4123; https://doi.org/10.3390/s20154123
Received: 2 June 2020 / Revised: 1 July 2020 / Accepted: 22 July 2020 / Published: 24 July 2020
(This article belongs to the Section Sensor Networks)
The digital revolution has changed the way we implement and use connected devices and systems by offering Internet communication capabilities to simple objects around us. The growth of information technologies, together with the concept of the Internet of Things (IoT), exponentially amplified the connectivity capabilities of devices. Up to this moment, the Long Range (LoRa) communication technology has been regarded as the perfect candidate, created to solve the issues of the IoT concept, such as scalability and the possibility of integrating a large number of sensors. The goal of this paper is to present an analysis of the communication collisions that occur through the evaluation of performance level in various scenarios for the LoRa technology. The first part addresses an empirical evaluation and the second part presents the development and validation of a LoRa traffic generator. The findings suggest that even if the packet payload increases, the communication resistance to interferences is not drastically affected, as one may expect. These results are analyzed by using a novel Software Defined Radio (SDR) technology LoRa traffic generator, that ensures a high-performance level in terms of generating a large LoRa traffic volume. Despite the use of orthogonal variable spreading factor technique, within the same communication channel, the collisions between LoRa packets may dramatically decrease the communication performance level. View Full-Text
Keywords: LoRaWAN; LoRa modulation; traffic generator; scalability; software defined radio LoRaWAN; LoRa modulation; traffic generator; scalability; software defined radio
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MDPI and ACS Style

Lavric, A.; Petrariu, A.I.; Coca, E.; Popa, V. LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation. Sensors 2020, 20, 4123. https://doi.org/10.3390/s20154123

AMA Style

Lavric A, Petrariu AI, Coca E, Popa V. LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation. Sensors. 2020; 20(15):4123. https://doi.org/10.3390/s20154123

Chicago/Turabian Style

Lavric, Alexandru; Petrariu, Adrian I.; Coca, Eugen; Popa, Valentin. 2020. "LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation" Sensors 20, no. 15: 4123. https://doi.org/10.3390/s20154123

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