A.A. 2019/20



Till classes are suspended due to Covid-19 emergency, the Smart Environments lessons will continue on the Sapienza e-learning MOODLE platform


Once the student is registered on this web page he/she can browse the webpage on



On-line meetings are available with GOOGLE MEET (see the instructions on Teacher Bacheca).


  • Basics of digital communications and networking (TCP/IP based)
  • Wireless systems

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

Course Object

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.

Final exam

The final exam can be done in three ways:

  • 1)      A paper based work (1 single student) MAX 10 points+ 2 questions at the oral by the Prof. who did not supervise the project (MAX 10 points each);
  • 2)      A project work (a group of 2-3 students) MAX 20 points + 1 question at the oral by the Prof. who did not supervise the project (MAX 10 points);
  • 3)      A full classical exam with 2 oral questions (MAX 15 points each) on the whole program by both Profs.

Solutions 1 and 2 include the presentation of the work at the end of the course and the oral in June or July 2020.

Solution 3 applies to all exam sessions starting from July 2020.

Aule ed orari (rooms and timetable)
Citta' Universitaria
 Martedì 16:00-19:00

Aula VI - Sc. Stat. - Giurisprudenza; Scienze politiche e Scienze statistiche; Ingegneria dell'informazione, informatica e statistica

 Mercoledì 10:00-13:00

Aula VIII - Sc. Stat. - Giurisprudenza; Scienze politiche e Scienze statistiche; Ingegneria dell'informazione, informatica e statistica

Google Group 2019_20

Teaching material

 Lectures Useful links


 LoraWAN Tutorials


  1. 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.
  2. 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
  3. 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"
  4. Gupta, Akhil, and Rakesh Kumar Jha. "A survey of 5G network: Architecture and emerging technologies." IEEE access 3 (2015): 1206-1232.
  5. Lora alliance. [Online]. Available: https://www.lora-alliance.org/
  6.   Leduc, Guillaume. "Road traffic data: Collection methods and applications." Working Papers on Energy, Transport and Climate Change 1.55 (2008).J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen, Data-driven intelligent transportation systems: A survey," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1624{1639, 2011.

Francesca Cuomo,
28 gen 2019, 06:16