Abstract
Internet of Things(IoT) thought is growing in the past few years, and the range of IoT devices is increasing apace. With the advancement of wireless networks, the evolution of cutting-edge data analytics and the decline in the outlay of connected devices, there is a rise in cloud platform adoption, and the market is anticipated to evolve at a positive pace. LoRaWAN is the progressive evolved technology that is anticipated as it holds up a large sector of the billions of approximated IoT. This paper focuses on the network QoS by analyzing the signal quality and channel capacity on the different configuration settings of LoRa. The simulated result demonstrates the utmost combination to achieve maximum channel capacity, SNR, and minimum bit error rate irrespective of the spreading factor, code rate, and bandwidth. Result demonstrates that there are approx. 27.21% more nodes can be active at SF-7 concerning SF-12 and concludes that capacity deteriorates as the SF increases which further concludes that link quality is 27.1% averagely superior in SF-7 region that the SF-12.
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Singh, A., Tyagi, A., Gupta, S.H. (2021). Capacity Evaluation and Analysis of Long Range for IoT. In: Sharma, D.K., Son, L.H., Sharma, R., Cengiz, K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 179. Springer, Singapore. https://doi.org/10.1007/978-981-33-4687-1_3
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DOI: https://doi.org/10.1007/978-981-33-4687-1_3
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