Aprèn - Carlos Gómez Montenegro

Low power wide area networks (LPWANs) are designed for Internet of Things (IoT) appli- cations because of their long-range coverage, low bit rate, and low battery consumption. In the LPWAN networks, Narrow-band IoT (NB-IoT) is a type of network that uses the licensed cellular spectrum, working over the deployed LTE infrastructure. It is rising as a promising technology because of its characteristics and deployment advantages against other LPWAN networks. In NB-IoT networks, localization is an essential service for applications such as smart cities, traffic control, logistics tracking, and others. The outdoor localization is often performed using a Global Navigation Satellite System (GNSS) like Global Positioning System (GPS) to send the current device position with some meters accuracy. However, due to GPS¿s power and size drawbacks, recent reports focus on alternatives to replace GPS-based localization systems with cost and power efficient solutions. This work analyses a database collected over an NB-IoT deployed network in the city of Antwerp in Belgium and implements a solution for outdoor localization based on Machine Learning (ML) methods for distance estimation. The data analysis starts in the pre-processing step, where the databases are cleaned and prepared for the ML analysis. The following process merges and debugs the data to obtain an integrated database with classification for urban and rural areas. The localization solution performs a support vector regression, random forest regression, and a multi-layer perceptron regression using as input parameters the received signal strength indicator (RSSI) and the base station (BS) position details in order to predict the distance to the IoT nodes and estimate the current position (latitude and longitude) of them. This implementation includes hyper-parameter tuning, the train and test process, and mathematical calculations to obtain the estimated position with mean and median location estimation errors expressed in meters. The implementation of the methodology processes results in 280 and 220 meters corre- sponding to the mean and median location errors for the urban area and 920 and 570 meters for the rural area. The accuracy levels obtained in the results turn this solution suitable for the most common uses of localization in IoT instead of using a GPS device. As a result, this study proposes a new approach for localization in IoT networks. In addition to the implemented solution defines valuable research lines to improve the accuracy levels and generate more contributions to optimize the equipment resources and reduce the IoT device¿s final cost.

Desplegament i avaluació d'una xarxa LoRaWAN (part II)

Bachelor thesis

Giner Gil, Daniel

Tutor / Supervisor: Gómez Montenegro, Carlos; Vidal Ferré, Rafael

Publication date: 2021

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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Despliegue y evaluación de una red LoRaWAN (part I)

Bachelor thesis

Contreras Martínez, Alberto

Tutor / Supervisor: Gómez Montenegro, Carlos; Vidal Ferré, Rafael

Publication date: 2021

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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Evaluating LoRa/LoRaWAN performance and scalability

Master thesis

Wani, Kazim Iqbal

Tutor / Supervisor: Gómez Montenegro, Carlos; Tuset Peiró, Pere

Publication date: 2021

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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Performance evaluation of IPv6 over Sigfox: focusing on SCHC fragmentation

Master thesis

Platis, Antonios

Tutor / Supervisor: Gómez Montenegro, Carlos; Vidal Ferré, Rafael

Publication date: 2021

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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A study on satellite Internet of Things (IoT)

Master thesis

Naranjo Zurita, Hector Jose

Tutor / Supervisor: Gómez Montenegro, Carlos

Publication date: 2021

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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Advanced Congestion Control Mechanisms for Internet of Things

Master thesis

Aldana Parra, Luis

Tutor / Supervisor: Gómez Montenegro, Carlos; Demirkol, Ilker Seyfettin

Publication date: 2019

Barcelona School of Telecommunications Engineering (ETSETB)

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Final tardor 218 Restricted access to the UPC academic community

Exam

Gómez Montenegro, Carlos; López Aguilera, M. Elena; Zola, Enrica Valeria

Publication date: 2019

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)
Barcelona School of Telecommunications Engineering (ETSETB)

INTERNET OF THINGS AND UBIQUITOUS IP - 300263

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Development of a practical LoRaWAN scenario

Master thesis

Robles Hidalgo, Klever Felipe

Tutor / Supervisor: Gómez Montenegro, Carlos; Vidal Ferré, Rafael

Publication date: 2019

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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Estudio de las prestaciones energéticas de SigFox y NB-IoT

Bachelor thesis

Veras Revelles, Juan Carlos

Tutor / Supervisor: Gómez Montenegro, Carlos

Publication date: 2019

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

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MQ tardor 2018 Restricted access to the UPC academic community

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Gómez Montenegro, Carlos

Publication date: 2018

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)

SMART AIRPORT AND FACILITY MANAGEMENT - 300429

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Final primavera 2018 Restricted access to the UPC academic community

Exam

Gómez Montenegro, Carlos; López Aguilera, M. Elena; Zola, Enrica Valeria

Publication date: 2018

Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)
Barcelona School of Telecommunications Engineering (ETSETB)

INTERNET OF THINGS AND UBIQUITOUS IP - 300263

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