Abstract

Recent public cooperation between the Federal University of Technology – Parana (UTFPR) and the Toledo Municipality plans to implement the concept of smart cities in this city. In this context, one of the applications under development intends to track the recyclable garbage collector trucks in real time over the Internet. Actually, fleet vehicle tracking is one of the main applications for smart cities. LoRaWAN stands out among network technologies for smart cities due to operating in an open frequency range, covering long distances with low power consumption and low equipment cost. However, the coverage and performance of LoRaWAN is directly affected by both the environment and configuration parameters. In addition, tracking devices must be able to send its coordinates to the Internet even when the vehicle goes through zones where there are obstacles for electromagnetic waves such as elevated buildings or valleys. In this paper we perform experimental investigations to evaluate four LoRaWAN tracking devices, two available out of the box and two assembled and programmed. The behavior of each tracking device is analyzed when moving at a constant speed through three representative urban areas totaling 10.71 km2. The two most efficient tracking devices are analyzed in a stretch of 3.5 km with speeds ranging from 0 to 30 km/h, 0 to 50 km/h and 0 to 100 km/h. Results include a quantitative and qualitative aspects, including the received signal strength indication (RSSI), signal-to-noise ratio (SNR), packet delivery ratio (PDR), and spreading factor (SF) for the received geographic coordinates. As the devices depend on the quality of the signal offered by the network, we also present the results of the development and evaluation of the LoRaWAN network, by planning its coverage throughout the city.

Highlights

  • Despite the fact that there is still no consensus on what characteristics or requirements define smart cities, some definitions are technology-based [1]

  • We present the evaluation of the LoRa wide area network (LoRaWAN) network deployed at our university campus and the network expansion plan to cover the municipality

  • 4 Methodology we present the methodological approach used in this work to deploy the LoRaWAN network and evaluate the tracking devices

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Summary

Introduction

Despite the fact that there is still no consensus on what characteristics or requirements define smart cities, some definitions are technology-based [1] In this sense, the combination of sensing technologies, long-range wireless networks, and computational infrastructure for processing large volumes of heterogeneous data enables the development of intelligent and scalable solutions to deal with the challenges of large urban centers [2]. Among the main LPWAN technologies and protocols are: NB-IoT (Narrowband IoT) [9], SigFox [10] and LoRaWAN (LoRa Wide Area Network) [11] They share several similarities, the main difference is in the cost of licensing use. It is the user’s responsibility to deploy and maintain the LoRaWAN infrastructure

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