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An Approach to Optimize LoRa Network Performance for Efficient IoT Applications

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Abstract

The evolution of LoRa for wireless sensor networks focused on IoT concept is the most adopted LPWAN technology as it has the potential to resolve the requisites of diverse IoT applications. There has been extensive research for analyzing and optimizing LoRa network performance over 868 and 915 MHz ISM bands. However, the IN865-867 channel plan has been less explored. Thus, the current work analyses and optimizes the performance of the LoRa network in terms of time on air (TOA), received power, and received signal strength indicator (RSSI) over IN865-867 channel plan. A mathematical model relating to transmission rate is formulated where the dependence of TOA, received power, and RSSI on the transmission parameters such as bandwidth, coding rate, and spreading factor is evaluated. Artificial Neural Network is implemented using nftool for simulation in MATLAB and the mean square error value (MSE) is obtained. MSE is further utilized to optimize TOA, received power, and RSSI. A critical comparative analysis is carried out to illustrate the benefits of the proposed approach with that of the existing LoRa network. Simulation results show that TOA, received power and RSSI improves by 48, 12 and 16% respectively.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amity University, Sector-125, Noida, India

    Gagandeep Kaur & Sindhu Hak Gupta

  2. Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India

    Harleen Kaur

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Kaur, G., Gupta, S.H. & Kaur, H. An Approach to Optimize LoRa Network Performance for Efficient IoT Applications. Wireless Pers Commun 128, 209–229 (2023). https://doi.org/10.1007/s11277-022-09950-1

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