Abstract
Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging LoRaWAN protocol into IoT systems, it will help to optimize energy consumption, capacity, cost, and coverage of the system. This study proposes a scheme for modeling the LoRAWAN network based on the availability of several independent radio frequency channels. As part of this approach, we also offer a model and calculation method. Numerical results show the efficacy of our proposed scheme.
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Acknowledgment
This paper is supported by The National Key Research and Development Program of China (2017YFE0123000) and Technology Innovation and Application Development Project of Chongqing (cstc2019jscx-fxydX0018).
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Muthanna, M.S.A., Wang, P., Wei, M., Al-mughalles, W., Rafiq, A. (2020). Dynamic Programming Method for Traffic Distribution in LoRaWAN Network. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2020 2020. Lecture Notes in Computer Science(), vol 12525. Springer, Cham. https://doi.org/10.1007/978-3-030-65726-0_28
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DOI: https://doi.org/10.1007/978-3-030-65726-0_28
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