Periodic Reporting for period 1 - OWIN6G (Optical and wireless sensors networks for 6G scenarios)
Reporting period: 2023-09-01 to 2025-08-31
In the Optical and WIreless sensors Networks for 6G scenarios (OWIN6G) MSCA DN project, key industry and academic stakeholders are brought together with the aim of developing a structured European training programme (TP) in optical technologies to facilitate disruptive wireless sensor applications within sixth-generation (6G) networks.
OWIN6G is the first Doctoral Network dedicated to training new generation of early-stage researchers (i.e. doctoral candidates, DCs) in the field of wireless sensor networks (WSNs) for the Internet of Things/Internet of Everything as part of the 6G and beyond focusing on novel sensors, solar-cells for energy harvesting and optical detection, and hybrid RF-optical wireless technologies, and the application of machine learning to improve adoption, optimization, and security aspects in sensor networks. Industrial partners enhance DC's technological progress by focusing on standardization, commercialization, and handling of real-world projects in a real-world environment.
OWIN6G contributes significantly to the fundamental scientific understanding, technical know-hows and innovation of the future hybrid RF/optical WSN through the collaborative research involving 10 individual DCs projects addressing specific challenges and applications within 3 work packages (WPs) focused on devices, subsystems, and systems for a specific application, and three WPs on project management (PM), doctoral training, and exploitation.
OWIN6G is the first Doctoral Network dedicated to training new generation of early-stage researchers (i.e. doctoral candidates, DCs) in the field of wireless sensor networks (WSNs) for the Internet of Things/Internet of Everything as part of the 6G and beyond focusing on novel sensors, solar-cells for energy harvesting and optical detection, and hybrid RF-optical wireless technologies, and the application of machine learning to improve adoption, optimization, and security aspects in sensor networks. Industrial partners enhance DC's technological progress by focusing on standardization, commercialization, and handling of real-world projects in a real-world environment.
OWIN6G contributes significantly to the fundamental scientific understanding, technical know-hows and innovation of the future hybrid RF/optical WSN through the collaborative research involving 10 individual DCs projects addressing specific challenges and applications within 3 work packages (WPs) focused on devices, subsystems, and systems for a specific application, and three WPs on project management (PM), doctoral training, and exploitation.
Up to now, most DCs have been trained and perform research within the 2nd year of their Ph.D. study.
In WP1, the involved DCs have made contribution to the state-of-the-art in different application of sensors' Devices and subsystems
- Yimming Shen (DC1) developed optical fiber based sensor involving whispering gallery mode (WGM) microbubble resonators (MBRs) for one-dimensional sensing applications
- Alexandros (DC6) analysed indoor WSN hybrid RF/optical system focusing on communication and energy efficiency/consumption
- Raul Zamorano Illanes (DC9) developed a patch sensor system, testbed for the visible light communication (VLC)-based portable ECG sensor and VLC system that uses photovoltaic (PV) cells as optical receivers and optical camera communication (OCC)
In WP2, the involved DCs have made contribution within Physical and MAC layer optimization for energy efficiency in IoT-related applications and sensor backbone infrastructure
- Yimming Shen (DC1) optimised sensors interrogator system toward energy-efficient optical sensing and communication systems
- Alexandros Aslanidis (DC6) investigated energy-autonomous WSNs through ambient energy harvesting. With particle swarm optimization (PSO) nearly doubled harvested energy
- Julian (DC10) focused on the use of adaptive digital equalizers to allow photovoltaic receivers to achieve significantly higher communication rates, supporting both energy harvesting and communication.
- Atiyeh Nora Pouralizadeh (DC2) investigated sensor backbone infrastructure with focus on LiFi-over-powerline channels for industrial Internet-of-Things applications
- Francisco Rau (DC4) proposed framework to reduce end-to-end latency enabling near-real-time traffic classification within MAC, real-time traffic classifier was accelerated on hardware to validate system performance
- Atiya Fatima Usmani (DC8) investigated OCC infrastructure limitations for camera-based sensing networks, focusing on scalability, synchronization, and environmental robustness.
- Christos Giachoudis (DC7) established a proof-of-concept infrared (IR) physical layer link for an optical wireless body-area network (WBAN).
- Satish Kumar Modalavalasa (DC3) developed and tested a digital twin with real-time sensor data transmission and the continuous feedback loop for a vehicular sensor network
In WP2, the involved DCs have made contribution within Network layer
- Luis Miguel Giraldo and Francisco Rau (DC4 and DC5) building upon work within WP2 in real-time traffic classification and hardware acceleration, extended the framework to the network layer within OWIN6G architecture for adaptative routing, QoS enforcement
- Christos Giachoudis (DC7) focused obn OWC at the level of the intra and extra WBAN medical systems
- Atiya Fatima Usmani (DC8) optimised Software Defined Networks (SDNs)
- Luis Miguel (DC5) performed experiments with SDN ICMP-based link failure monitoring
In WP1, the involved DCs have made contribution to the state-of-the-art in different application of sensors' Devices and subsystems
- Yimming Shen (DC1) developed optical fiber based sensor involving whispering gallery mode (WGM) microbubble resonators (MBRs) for one-dimensional sensing applications
- Alexandros (DC6) analysed indoor WSN hybrid RF/optical system focusing on communication and energy efficiency/consumption
- Raul Zamorano Illanes (DC9) developed a patch sensor system, testbed for the visible light communication (VLC)-based portable ECG sensor and VLC system that uses photovoltaic (PV) cells as optical receivers and optical camera communication (OCC)
In WP2, the involved DCs have made contribution within Physical and MAC layer optimization for energy efficiency in IoT-related applications and sensor backbone infrastructure
- Yimming Shen (DC1) optimised sensors interrogator system toward energy-efficient optical sensing and communication systems
- Alexandros Aslanidis (DC6) investigated energy-autonomous WSNs through ambient energy harvesting. With particle swarm optimization (PSO) nearly doubled harvested energy
- Julian (DC10) focused on the use of adaptive digital equalizers to allow photovoltaic receivers to achieve significantly higher communication rates, supporting both energy harvesting and communication.
- Atiyeh Nora Pouralizadeh (DC2) investigated sensor backbone infrastructure with focus on LiFi-over-powerline channels for industrial Internet-of-Things applications
- Francisco Rau (DC4) proposed framework to reduce end-to-end latency enabling near-real-time traffic classification within MAC, real-time traffic classifier was accelerated on hardware to validate system performance
- Atiya Fatima Usmani (DC8) investigated OCC infrastructure limitations for camera-based sensing networks, focusing on scalability, synchronization, and environmental robustness.
- Christos Giachoudis (DC7) established a proof-of-concept infrared (IR) physical layer link for an optical wireless body-area network (WBAN).
- Satish Kumar Modalavalasa (DC3) developed and tested a digital twin with real-time sensor data transmission and the continuous feedback loop for a vehicular sensor network
In WP2, the involved DCs have made contribution within Network layer
- Luis Miguel Giraldo and Francisco Rau (DC4 and DC5) building upon work within WP2 in real-time traffic classification and hardware acceleration, extended the framework to the network layer within OWIN6G architecture for adaptative routing, QoS enforcement
- Christos Giachoudis (DC7) focused obn OWC at the level of the intra and extra WBAN medical systems
- Atiya Fatima Usmani (DC8) optimised Software Defined Networks (SDNs)
- Luis Miguel (DC5) performed experiments with SDN ICMP-based link failure monitoring
Not applicable at this stage of the project