Description:
"Green" has nowadays become a well-known concept and an appealing trend. Efforts to reduce energy consumption are now important topics in many aspects of our daily life. One example is the optimization of energy usage in domestic households. In this regard Wireless Sensor Networks (WSNs) represent a promising technology as they enable applicaions, such as the aforementioned energy efficient buildings, industrial monitoring, biomedical surveillance, etc. By deploying WSNs to monitor and control for instance lighting and heating in buildings, the energy consumption can be significantly reduced. As a natural consequence WSNs have attracted a lot of interest in recent years. To simplify the installation, and to avoid retro fitting of power cables, most WSN nodes are powered by batteries instead of power wires. However, the use of batteries limits the widespread deployment of WSNs, as regular replacement of batteries is too costly. Thanks to recent advances in energy harvesting technologies and low power technologies, WSNs are at the brink of a breakthrough, as self-sustaining operation is becoming feasible. Based on energy harvesting, devices derive energy from ambient energy sources, such as solar energy, vibration energy, thermal energy or airflow. The harvested energy can then be stored and used for the low WSN nodes, potentially eliminating the need for batteries. This course provides an overview of the challenges and progresses within this area. In addiation the course addresses the principles and design methods of different technologies enabling self-sustaining WSNs.
Content
- WSN systems and self-sustainability - Jan H. Mikkelsen
- Theory and design techniques of ultra-low power analog/RF CMOS circuits for WSNs - Ming Shen
- Low power transceiver topologies based on compressed sensing - Tobias Lindstrøm Jensen & Thomas Arildsen
- Desing methods of low power digital CMOS circuits - Peter Koch
- Principles and design methods of energy harvesting circuits and systems - Apostolos Georgiadis
- Design of MEMs energy harvesting devices for WSNs - Fei Wang
Texts
Selected books and papers on WSNs, energy harvesting and ultra-low power electronics. Extensive slides will be provided in advance.
Prerequisites
- Basic circuit theory
- Basic physics
- Elementary knowledge on wireless sensor networks
Organizer:
Associate Professor Jan H. Mikkelsen, email: jhm@es.aau.dk
Post-doc Ming Shen, email: mish@es.aau.dk
Lecturers:
Associate Professor Jan H. Mikkelsen, Aalborg University
Associate Professor Peter Koch, Aalborg University
Senior Research Associate Apostolos Georgiadis, CTTC, Spain
Assistant Professor Fei Wang, Technical University of Denmark
Post-doc Ming Shen, Aalborg University
Assistant Professor Thomas Arildsen, Aalborg University
Post-doc Tobias Lindstrøm Jensen, Aalborg University
ECTS:
2.0
Time:
April 23-25, 2013
Place:
Aalborg University
Niels Jernes Vej 12, room A-604
Zip code:
9220
City:
Aalborg
Number of seats:
20
Deadline:
April 1, 2013
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Jan Hvolgaard Mikkelsen