- Docente: Davide Dardari
- Credits: 6
- SSD: ING-INF/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
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Corso:
Second cycle degree programme (LM) in
Electronics and Telecommunications Engineering for Energy (cod. 8770)
Also valid for Second cycle degree programme (LM) in Electronics and Telecommunications Engineering for Energy (cod. 8770)
Second cycle degree programme (LM) in Electronics and Telecommunications Engineering for Energy (cod. 8770)
Learning outcomes
Skills in the design of wireless sensor networks applied to Internet of things scenarios and, more in general, to cyber-physical systems devoted to monitor and control physical processes. In particular, knowledge of the main short-range low-complexity wireless technologies, and mastery of efficient methods to acquire, diffuse and process data in wireless sensor networks.
Course contents
- Introduction to the requirements and technologies for the Internet of Things, with particular reference to wireless sensor networks.
- Short-range communication techniques - connectivity models - energy efficient routing and synchronization protocols.
- Distributed detection and estimation of physical entities.
- Bayesian methods for optimal estimation and tracking (Bayesian filters, Kalman filter).
- Case study examples and laboratory activity on the design of wireless networks.
Readings/Bibliography
The slides adopted during the frontal lesson will be made available to students through Internet.
The acquisition of dedicated books is not required.
Bibliography for further deepening:
R. Verdone, D. Dardari, G. Mazzini, A. Conti "Wireless sensor and actuator networks: technologies, analysis and design", Ed. Elsevier, 2008.
Teaching methods
The course consists of 6 CFU of which 3 CFU of frontal lessons and 3 CFU (30 hours), of laboratory group experiences on projects identified by the students.
The laboratory is equipped with 5 development kits for wireless sensor networks.
The objective of practical activity is twofold:
- acquire confidence with typical development tools for wireless networks;
- acquire the skills to carry out individual and team design activities.
Assessment methods
A comprehensive oral exam will assess skills acquired during the course and during the group laboratory activity.
Optionally, students have the faculty to prepare and discuss a simulation project, previously agreed with the supervisor.
Teaching tools
The slides adopted during the frontal lesson will be made available to students through Internet.
Matlab environment.
Laboratory equipped with 5 development kits for wireless sensor networks.
Office hours
See the website of Davide Dardari