Abstract
In Long Range Wide Area Network (LoRaWAN), the data rate of the devices can be adjusted to optimize the throughput by changing the spreading factor. However, the adaptive data rate has to be carefully utilized because the collision probability, which directly affects the throughput, is changed according to the use of spreading factors. Namely, the greater the number of devices using the same spreading factor, the greater the probability of collision, resulting in a decrease of total throughput. Nevertheless, in the current system, the only criteria to determine the data rate to be adjusted is a link quality. Therefore, contention-aware adaptive data rate should be designed for the throughput optimization. Here, the number of devices which can use a specific data rate is restricted, and accordingly the optimization problem can be regarded as constrained optimization. To find an optimal solution, we adopt the gradient projection method. By adjusting the data rate based on the retrieved set of optimal data rate, the system performance can be significantly improved. The numerical results demonstrate that the proposed method outperforms the comparisons regardless of the number of devices and is close to the theoretical upper bound of throughput.
Highlights
During the past decade we became witnesses of the evolution of the Internet of Things (IoT)technology
Adaptive Data Rate (ADR) in the Long Range Wide Area Network (LoRaWAN) was designed for static devices, so Signal-to-Noise Ratio (SNR) variation is assumed to be small
The ADR provides a chance to optimize the total throughput in the LoRaWAN
Summary
During the past decade we became witnesses of the evolution of the Internet of Things (IoT). The gateway is able to use the sensing data from the end-devices distributed in a city, the LPWAN technology is suitable for the purpose of collecting small amounts of data scattered over a large area. Metering such as electricity and gas, remote management of livestock, smart traffic management, and waste. This paper proposes a contention-aware adaptive data rate to maximize the total throughput in the LoRaWAN. We conclude our paper with a summary and future works
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.