| Summary: | To monitor the effects of climate change and to help the understanding and predictability, sensors have been installed in northern Québec. Salluit in Nunavik is among the villages of which a set of sensors has been installed. However, the collection of this data is manually done once a year by scientists. Given the importance of this information, Sentinel North project site 1.5 aims to measure, record, and send data in real time. Our project is primarily aimed at installing a wireless network that allows sensors to transmit data throughout the year, to anticipate risks and damages. The project design was launched in 2016, and the first work took place in summer 2017. After a successful data collection during the first months after installation, LTE network problems have occurred. Since the LTE connection is not reliable, the sensors were only visible from the university between 5% and 9% of the time, before a total loss of the LTE signal starting in January 2017. Environmental and meteorological conditions of the region have confirmed the challenges faced by such a system of wireless data collection. In this thesis, we detail the steps taken to deploy such a sensor network under extreme and unknown conditions. We also explain the challenges, problems and limitations encountered during the project and give recommendations and improvement for the future. Pour suivre les effets du changement climatique et aider à la compréhension et la capacité de prédiction, des capteurs ont été installés dans le nord du Québec. Salluit à Nunavik est parmi les villages où un ensemble de capteurs a été installé. Cependant, la collecte de ces données est manuellement effectuée une fois par an par des scientifiques. Étant donné l’importance de ces informations, le chantier 1.5 du projet Sentinelle Nord vise à mesurer, enregistrer, et envoyer les données en temps réel. Notre projet a d’abord pour but l’installation d’un réseau sans fil permettant aux capteurs de transmettre les données tout au long de l’année, pour anticiper les ...
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