Sensor network communication
Contact: Geert Leus
In sensor networks, we shift from centralized communication networks to distributed self-organizing networks where nodes adapt their procedures (related to spectrum utilization, sensing, information processing, and localization) based on only local information. To develop large self-organizing networks we need cognitive radio devices that are capable of sensing the radio spectrum and adapt accordingly. We further require energy efficient distributed information processing and localization algorithms for large sensor networks. The mathematical tools we want to build on are compressed sampling, convex optimization, game theory, and linear algebra.
Projects under this theme
Integrated Cooperative Automated Vehicles
Task-cognizant sparse sensing for inference
Low-cost sparse sensing designed for specific tasks
Digitally Dominant Analog Blocks for Ultra-Low-Power Wireless Sensor Network
All-digital phase-locked loops, inductor/capacitor-based DC-DC switching converters
SuperGPS: Accurate timing and positioning
Accurate timing and positioning through an optical-wireless distributed time and frequency reference
Quality of Service-driven Channel Selection for Cognitive Radio Networks
Improving the reliability of disaster relief networks using cognitive radio with strict QoS requirements.
detection of anti-personal landmines and cluster munitions
Ultra WideBand (UWB) Radio Indoor Positioning System
How can we accomplish effective, scalable and low-cost indoor positioning systems for practical applications using UWB radio signals?
Sensor Technology Applied in Reconfigurable Systems
reconfigurable sensors and sensor networks applied in the context of the security domain
PulsarPlane: Worldwide Air Transport Operations
We investigate if pulsar navigation for aviation is positive, and analyse the impact on aviation.
Metrology for optical and RF communication systems
To develop traceable methods for RF power and MIMO antenna measurements and cost-effective metrological solutions for smart, adaptive, reconfigurable and wearable antennas.
Sensing Heterogeneous Information Network Environment
How can heterogeneous resources (people, mobile sensors, fixed sensors, social media, information systems, etc.) self-organize for answering information needs?
Extreme Wireless Distributed Systems
EWiDS is one of the projects of the COMMIT program, concentrating on extreme wireless distributed systems. In EWiDS, we aim at a better understanding of using wireless, user-centric sensor technology to monitor and manage the behavior of people.
Autonomous, self-learning, optimal and complete underwater systems
Can we develop robust, cooperative and cognitive communication for Autonomous Underwater Vehicles?
Reliable and fast wireless communication for lithography machines
Connecting a sensor network on a moving platform to a control unit; this requires high-speed links with low latency, and accurate wireless clock synchronization.
Separation of AIS Transponder Signals
AIS is a VHF communication system for ship transponders. Seen from a satellite, transponder messages overlap. The aim is to separate these using an antenna array.
Dependable Distributed Sensing Systems
The D2S2 project aims at developing an algorithmic framework for operating large-scale distributed sensor systems.
Low-frequency distributed radio telescope in space
Below 15 MHz, the ionosphere blocks EM signals from the sky. Therefore, can we design a radio telescope in space, using a swarm of inexpensive nano-satellites? Accurate localization and clock recovery is important.
Extreme Wireless Distributed Systems
Using wireless, user-centric sensor technology to monitor and manage the behavior of people
Signal Processing for Self-Organizing Wireless Networks
Mathematical foundations to develop large self-organizing networks based on cognitive radio devices that are capable of sensing the radio spectrum and adapt accordingly.
Airport Detection and Tracking of Dangerous Materials
Active and passive radar technology for detection and surveillance of people at airports
Smart moving Process Environment Actuators and Sensors
Can an RF sensor network be developed for an underwater environment (chemical reaction tank)? Main issues are localization and UWB communication. This is a difficult environment for RF.
MSc SS Thesis Presentation
Guillermo Ortiz Jiménez
Multidomain Graph Signal Processing: Learning and Sampling
- Thu, 23 Aug 2018
- LB 01.170 Timmanzaal
MSc TC Thesis Presentation
Bluetooth Direction Finding
- Thu, 13 Sep 2018
- HB 17.150