Abstract

The LoRaWAN communication protocol can be used for the implementation of the IoT (Internet of Things) concept. Currently, most of the information regarding the scalability of the LoRa technology is commercial and deals with the best-case scenario. Thus, we need realistic models, enabling the proper assessment of the performance level. Most of the time, the IoT concept entails a large number of nodes distributed over a wide geographical area, therefore forming a high density, large-scale architecture. It is important to determine the number of collisions so that we can assess the network performance. The present paper aims at assessing the performance level of the LoRaWAN technology by analyzing the number of packet collisions that can occur. Thus, this paper determines the maximum number of LoRa nodes that can communicate with a Gateway considering the LoRaWAN protocol specifications. Furthermore, we have proposed a series of solutions for reducing the number of collisions and increasing the capacity of the communication channel.

Highlights

  • New technologies have emerged lately, such as LoRa (Long Range) [1], Sigfox [2], and Weightless [3], enabling efficient long distances wireless communication

  • After analyzing the obtained results, we propose a series of actions and solution aimed at increasing the performance level by reducing the number of collisions within the communication channel

  • The parameters used in the simulations are the spreading factor, the channel bandwidth, and the coding rate

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Summary

Introduction

New technologies have emerged lately, such as LoRa (Long Range) [1], Sigfox [2], and Weightless [3], enabling efficient long distances wireless communication. Wireless Sensor Networks (WSN) have the potential to improve our lives. In recent years we have witnessed a fusion between WSN topic and the Internet of Things (IoT) concept. These emerging new technologies have the ability to increase the quality of life. The IoT concept refers to the interconnection of different devices and nodes to Internet. The concept entails the integration of sensors that often have low processing power and limited communication capabilities are most of the time battery powered

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