IoT for sober observation of the environment

The research focuses on 4 themes aimed at a sober observation of the environment:

Energy optimisation

Energy efficiency is a major concern in the IoT field, given that many devices are powered by batteries and need to operate for long periods without recharging. The research is focusing on optimising communication protocols and developing efficient energy management methods to extend the life of devices.

Robustness 

The robustness of IoT devices is of particular importance in agricultural environments, subject to variable weather conditions and environmental constraints. The work aims to strengthen the resilience of IoT networks in the face of breakdowns or interference by developing mechanisms for anticipating and detecting errors. 

Intelligent multi-object interaction 

In order to enable effective coordination between different agricultural devices, such as sensors and drones or agricultural robots, multi-object interaction is being studied. The aim is to create environments where connected objects can interact autonomously and in a coordinated fashion to accomplish complex tasks. This approach requires the development of advanced algorithms to enable effective communication and collaboration between the various devices. 

Data integration

The work focuses on developing methods to enable interoperability between different devices and platforms, as well as data analysis and processing to extract useful information from the volumes of data generated by IoT systems. They are also focusing on the integration of artificial intelligence and machine learning to examine automated methods for analysing, interpreting and exploiting data.

Some publications:

Optimal route planning of an Unmanned Aerial Vehicle for data collection of agricultural sensors, Christophe Cariou, Laure Moiroux-Arvis, Fatiha Bendali, Jean Mailfert. IEEE International Conference on Computer Communications (INFOCOM) - Workshop on Networked Robotics and Communication Systems (NetRobics), IEEE Communications Society (ComSoc), May 2024, Vancouver (Canada), Canada, hal-04602965

A mediation system for continuous spatial queries on a unified schema using Apache Spark, Thi Thu Trang Ngo, François Pinet, David Sarramia, Myoung-Ah Kang. Big Earth Data, 2024, 8 (1), pp.115-141. ⟨10.1080/20964471.2023.2275854⟩, hal-04283788

An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology, Sandro Bimonte, Fagnine Alassane Coulibaly, Stefano Rizzi, Data and Knowledge Engineering, 2024, 150, pp.102267. ⟨10.1016/j.datak.2023.102267⟩, hal-04544371

ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud, Laure Moiroux-Arvis, Laurent Royer, David Sarramia, Gil de Sousa, Alexandre Claude, Delphine Latour, Erwan Roussel, Olivier Voldoire, Patrick Chardon, Richard Vandaële, Thierry Améglio, Jean-Pierre Chanet, Sensors, 2023, 23 (6), pp.2896. ⟨10.3390/s23062896⟩, hal-04071904