The SINGIT associate team is a joint research initiative between Inria ERMINE (Rennes, France) and the Indian Institute of Technology Delhi, dedicated to building a sustainable and intelligent Internet of Things (IoT) framework for next‑generation applications. Our work targets end‑to‑end Quality of Service (QoS) guarantees across highly heterogeneous and dynamic IoT scenarios, from smart grids to healthcare and large‑scale environmental monitoring.
Our vision
SINGIT aims to enable an IoT ecosystem where billions of devices can communicate reliably, efficiently, and with strong QoS guarantees, even under stringent energy and spectrum constraints. By leveraging recent advances in 5G‑Advanced (3GPP Releases 18–19) and AI, the team seeks solutions that are not only high‑performance but also sustainable over the long term.
Scientific focus
SINGIT structures its research around three core directions:
- Dynamic prioritization and QoS‑aware algorithms to adapt to diverse and fluctuating IoT traffic patterns while meeting strict latency, reliability, and throughput requirements. This includes handling the coexistence of ultra‑reliable low‑latency communications and massive IoT services in shared infrastructures.
- AI‑driven IoT–edge–cloud orchestration to place computation and data processing at the right place, at the right time, from devices to edge nodes and cloud platforms. Machine learning is used to anticipate demand, optimize service placement, and react to network dynamics.
- Cross‑layer and energy‑efficient resource optimization to reduce energy, spectrum, and bandwidth usage while preserving QoS guarantees. This cross‑layer view spans device, network, and application layers, taking advantage of new features such as QoS monitoring and IoT over Non‑Terrestrial Networks (NTN).
Application domains
The team investigates and validates its methods in several representative IoT domains:
- Smart grid control and critical infrastructure monitoring, where robust and low‑latency communication is essential for grid stability and safety.
- Healthcare and well‑being, through reliable and secure monitoring solutions that can adapt to varying network conditions and patient needs.
- Large‑scale environmental monitoring, where massive deployments of sensors must operate efficiently over long periods and challenging connectivity conditions.
These domains serve as realistic testbeds to demonstrate the impact of SINGIT’s algorithms and architectures on real‑world IoT deployments.
Collaboration and funding
SINGIT is an Inria Associate Team between ERMINE (Inria Centre at Université de Rennes) and IIT Delhi (Department of Electrical Engineering), led by Chetna Singhal (Inria) and Swades De (IIT Delhi). The collaboration is supported in the framework of the DST‑CEFIPRA programme (Centre Franco‑Indien pour la Promotion de la Recherche Avancée), combining Inria funding with co‑funding requested from the Indian side to sustain joint research, exchanges, and shared experimental facilities.