Master Student Internship in Optimization of the LoRa/LoRaWAN Power Consumption for an Autonomous...
Luxembourg Institute of Science and Technology
Luxembourg
il y a 6j
source : Euraxess

Context of the internship

Nowadays the increasing presence of microplastics in the sea represents a major problem of contamination for ecological niches that is breaking the balance of many ecosystems of oceanic fauna and flora.

The problem has gained attention at global level, asking for countermeasures to reduce the negative impact on the environment.

In 2008, the EU Marine Strategy Framework Directive (MSFD, 2008 / 56 / EC) included microplastics as a parameter to measure.

Environmental monitoring in the marine environment is quite critical and full of challenges. Coasts and open sea are monitored by several satellite systems that provide insightful research data but that also reveals the need for more detailed information.

Current research techniques and experimental studies for detecting microplastics in open seawaters mainly rely on Earth Observation (EO) data.

Such techniques are limited by the spatial resolution of the EO data with respect to the size of microplastics. In situ measurements provided by Internet of Things (IoT) devices can play an important role to improve the accuracy of microplastics detection systems.

The SPOT-ON (Spotting microplastics in Ocean with autonomous wireless sensors) project aims to study, design, and develop a new autonomous IoT device, able to monitor continuously the presence of polluting microplastics in the open seawater.

Tasks entrusted to the Intern

  • Study the LoRa / LoRaWAN protocol
  • Set up a LoRaWAN network with real equipment
  • Investigate the impact of different PHY and MAC protocol parameters on the energy consumption of the end device
  • Propose different approaches (including modification of the LoRaWAN protocol) to optimise the energy consumption of the end device
  • Deliverables

  • Report on the experimental campaign and performance (energy consumption optimisation) analysis of LoRaWAN end device
  • Supporting documentation for all the HW / SW components used for the network set up, and the performance analysis
  • Offer Requirements

    Skills / Qualifications

  • Knowledge of Internet of Things (IoT) communication protocols
  • Experience with MAC protocol design / optimisation
  • Development skills (C / C++, Java, Python, scripting languages)
  • Hands-on skills with IoT embedded systems
  • Basic knowledge of Linux based OS
  • English is mandatory
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