Professor: Francesca Cuomo e Mauro Biagi
As for the A.A. 2018/19 the web page can be found at
Degree in: Data Science
Basics of digital communications and networking (TCP/IP based)
Outline of the Course
Enhanced Services by Smart Devices
Data Acquisition, Coding, and Aggregation in Smart Environments
Device Communication and Networking
Practical examples of Data Processing for Smart Environments
Goal of this course is to provide an overview of the large world of wireless and wired technologies that are will be used for the Smart Environments. These technologies will be able to provide infrastructures of networks and digital information used in the urban spaces and smart environments to build advanced applications. Recent advances in areas like pervasive computing, machine learning, wireless and sensor networking enable various smart environment applications in everyday life. The main goal of this course is to present and discuss recent advances in the area of the Internet of Things, in particular on technologies, architectures, algorithms and protocols for smart environments with emphasis on real smart environment applications. The course will present the communication and networking aspects as well as the processing of data to be used for the application design. The course will propose two cases studies in the field of smart environments: Vehicular Traffic monitoring for ITS
|Smart Enviroments paper|
Cook, Diane J., and Sajal K. Das. "How smart are our environments? An updated look at the state of the art." Pervasive and mobile computing 3.2 (2007): 53-73.
M. R. Palattella et al., "Internet of Things in the 5G Era: Enablers, Architecture, and Business Models," in IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510-527, March 2016. doi: 10.1109/JSAC.2016.2525418
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing) Wiley-Interscience ©2004 "http://onlinelibrary.wiley.com.ezproxy.uniroma1.it/book/10.1002/047168659X"