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Comparison of LoRa Simulation Environments

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

Abstract

Internet of Things (IoT) is used more and more in our everyday life, connecting different wireless devices, and their distance can vary from some centimeters to many kilometers. New IoT technologies such as Long Range (LoRa) are emerging enabling power efficient wireless communication over very long distances. Simulation of LoRa networks is quite important, because can be used for the design and the evaluation of LoRa based application without the need of costly implementations or before to proceed to the actual implementation of the system. Choosing the right parameters of the systems like spreading factor can improve the energy consumption of the wireless devices. This paper presents the most important LoRa simulation environments available in the literature and after that, we present a comparative evaluation of LoRa simulation environments. The benefits, the disadvantages and the highlights of each LoRa simulation environment is presented.

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References

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Acknowledgments

The authors acknowledge that the starting point and the drive of this paper have been generated in the context of the project ‘WeSAR (Wearable based Search And Rescue system)’. In this framework, we would like to thank all the project partners and employees of Econais AE, Yodiwo AE and CTI (Computer Technology Institute & Press “Diophantus”) for their personal copy information and experience on this project. This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - INNOVATE (project code: T1EDK-01520).

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Correspondence to Christos Bouras .

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Bouras, C., Gkamas, A., Katsampiris Salgado, S.A., Kokkinos, V. (2020). Comparison of LoRa Simulation Environments. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_33

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

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