M2 Internship on Data Analysis for Internet of Things
Inria
Villeurbanne
M2 Internship on Data Analysis for Internet of Things
Le descriptif de l’offre ci-dessous est en Anglais
Type de contrat : Stage
Niveau de diplôme exigé : Bac + 4 ou équivalent
Fonction : Stagiaire de la recherche
A propos du centre ou de la direction fonctionnelle
The Inria research centre in Lyon is the 9th Inria research centre, formally created in January 2022. It brings together approximately 300 people in 16 research teams and research support services.
Its staff are distributed at this stage on 2 campuses: in Villeurbanne La Doua (Centre / INSA Lyon / UCBL) on the one hand, and Lyon Gerland (ENS de Lyon) on the other.
The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.
Contexte et atouts du poste
This work will take place in the Inria Agora research team in Lyon, in conjunction with the ANR DOLL national research project. The internship student will be supervised by Dr. Oana Iova (Inria Agora, INSA Lyon) and will work closely with Prof. Alexandre Guitton (Université Clermont Auvergne), Prof. Fabrice Valois (Inria Agora, INSA Lyon), and Prof. Hervé Rivano (Inria Agora, INSA Lyon).
Mission confiée
Recent years have witnessed the surge of several new technologies that enable long-range communication (up to tens of kilometers) with extremely low-power consumption (18mA at 7dBm). These networks play a major role in the Internet of Things (IoT), where they enable architectural alternatives with degrees of scale and flexibility hitherto impossible. The most representative technology for long-range networks is LoRa [1], combined with the LoRaWAN [3] protocol, a breakthrough technology for smart object data collection that has gained global momentum.
Principales activités
LoRaWAN networks are deployed all over the world, allowing end-devices to easily send the collected data to users. However, there is no knowledge of how these networks are used today, and what are the exact characteristics of the end-devices that use these networks. The goal of this internship is to assess and characterize the deployment of a LoRaWAN network and its end-devices, in an actual urban real-world environment. The Inria Agora team has deployed a LoRaWAN network in the La Doua Campus, Villeurbanne in 2019 and gathered data traces (almost) continuously for over three years (some interruptions are present in the data due to temporary hardware failure). Before being analysed, the raw data should be cleaned to avoid outliners and incoherent data
collection. The student will then have to analyze the obtained data traces and gather different micro and macro indicators, such as:
- Number of end-devices and applications in the network, and their lifetime. This tells us how the network is used.
- Traffic observed in the network through the lens of uplink and downlink data traffic, confirmed uplink and join type of traffic together with the carrier frequency used for each type of packet, in order to characterize the gateway availability and reliability and the dynamicity of the network.
- Physical settings for each packet, including bandwidth, spreading factor, coding rate, and packet length. All these parameters have an impact on the data rate, receiver sensitivity (including resilience to interference), transmission range, and energy-efficiency.
- Received signal strength indicator (RSSI) and signal to noise ratio (SNR) for each data packet, in order to further characterize the quality of the links in the network.
Bibliography:
[1] Semtech, LoRa – Long Range Technology: https://www.semtech.com/lora [2] LoRa Alliance, LoRaWAN 1.1 Specification, 2017
[3] H. Wennerström et al. A long-term study of correlations between meteorological conditions and 802.15.4 link performance. In IEEE International Conference on Sensing, Communications and Networking (SECON), pg. 221- 229, 2013
[4] T. Istomin et al. “TRIDENT: In-field Connectivity Assessment for Wireless Sensor Networks”, In Extreme Conference on Communication and Computing (ExtremeCom), Galapagos Islands, Ecuador, 2014
Compétences
Applicants studying for a Computer Science or Telecommunication Engineering degree are encouraged to apply. Practical skills with programming languages (e.g., C/C++, Python) and data visualization software such as Kibana are welcomed. French language is not mandatory but welcomed. We look for empathic proactive and self-driven students.
Avantages
- Partial reimbursement of public transport costs
- Social, cultural and sports events and activities
Rémunération
Gratification at €4.05 per hour