69777 - Laboratory of Wireless Networks for Energy and Environment

Academic Year 2015/2016

  • Moduli: Andrea Giorgetti (Modulo 1) Andrea Giorgetti (Modulo 2)
  • Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
  • Campus: Cesena
  • Corso: First cycle degree programme (L) in Electronics Engineering for Energy and Information (cod. 8767)

Learning outcomes

The course gives elements for the analysis and design of wireless sensor networks for environmental monitoring. The analysis and design of signal processing and communications techniques are carried out through the development of MATLAB software routines, while the design of wireless sensor networks is based on experiments on a real platform. During the class, the course gives basic knowledge of digital signal processing and transmission of data towards a more complete view of a wireless sensor networks. The laboratory exercises allow the student to practise with software tools (like the MATLAB platform) as well as hardware (SDR platform) necessary to environmental monitoring.

Course contents

Introduction to digital signal processing. A-to-D and D-to-A conversion. Analysis and implementation of basic signal processing algorithms for acquisition and transmission of information. Introduction to wireless sensor networks (WSNs) and applications with particular emphasis on environmental monitoring. Practical implementation of algorithms on software defined radio platform.

Readings/Bibliography

L. Calandrino, M. Chiani, Lezioni di Comunicazioni Elettriche, Pitagora Editrice, Bologna, 2004.

O. Andrisano, A. Conti, D. Dardari, Appunti di Sistemi di Telecomunicazione: Laboratorio1 - Telemisure di sistemi di telecomunicazioni basati su DSP, Esculapio, 2002.

R. Verdone, D. Dardari, G. Mazzini, A. Conti "Wireless sensor and actuator networks: technologies, analysis and design", Ed. Elsevier, 2008.

Teaching methods

The course, subdivided in lectures and laboratory follows a basic methodology that  consists in: problem view, its mathematical formulation and solution, laboratory simulation (MATLAB) and experimentation (SDR platform).

Assessment methods

During the course, students (divided into groups) carry out some laboratory exercises and write short reports. The final exam consists in a laboratory test and one or more questions on theoretical aspects.

Teaching tools

The course consists in many laboratory exercises to learn basic aspects of signal processing and transmission of information by simulation with MATLAB. There are also several experiments on a real software defined radio platform.

Links to further information

http://sites.google.com/site/andrewgiorgetti/home

Office hours

See the website of Andrea Giorgetti