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 through deployment of Wireless Sensor Networks (WSNs). If using WSNs to monitor and control 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. However, most existing WSN
nodes are powered by batteries. The use of batteries limits the widespread deployment of WSNs, as regular replacement of batteries is too costly. Thanks to recent advances in energy efficient technologies, WSNs are at the brink of a breakthrough, as truly “green” battery-­-less operation is becoming feasible. Green wireless sensor network mainly focuses on energy efficiency improvement, aiming at the realization of sustainable or battery-­-less operation of the networks. It involves multidisciplinary research covering topics from hardware architectures to signal processing and networking protocols. This course provides an overview of the challenges and progresses within this area. In addition, the course addresses the principles and design methods of different technologies enabling green wireless sensor networks.
The topics include:
- Green wireless sensor networks: an overview
- Ultra-­-low power circuits and systems for battery-­-less wireless sensor  networks
- Energy-­-efficient data fusion for wireless sensor networks
- Advanced signal processing techniques for power efficient communication
- Protocol design for green communication networks

Prerequisites: Basic circuit theory, basic physics, basic knowledge on wireless communication systems, elementary knowledge on wireless sensor networks.

Organizer: Ming Shen, and Jan H. Mikkelsen,

Lecturers: Professor Frank Fitzek, Aalborg University, Associate Professor Jan H. Mikkelsen, Aalborg University Associate Professor Zheng-­-Hua Tan, Aalborg University Assistant Professor Thomas Arildsen, Aalborg University Post-­-doc Tobias Lindstrøm Jensen, Aalborg University Post-­-doc Ming Shen, Aalborg University

ECTS: 2,5

Time: 30 April - 2 May, 2014 (9:00-12:00; 13:00-16:00)

Place: Aalborg University, Niels Jernes Vej 14, A4-111 

Zip code: 9220

City: Aalborg

Number of seats:

Deadline:  9 April, 2014