Course: Wi-Fi device tracking in heterogeneous wireless networks
Instructor: Matteo Anedda – Email: matteo.anedda@unica.it – Web site: UniCA
SSD: ING-INF/03 TELECOMMUNICATIONS
Credits / hours: 2.5 credits / 20 h
Language: English
Scheduling: Fall Semester
Final Exam: Written
GOAL OF THE COURSE
The course aims to introduce the sniffing techniques of Wi-Fi devices in indoor and outdoor environments, and the data management techniques for tracking people and objects within the area of interest. The monitoring of devices has become a crucial aspect in the context of Smart Cities because it allows the optimization of the services offered according to the higher or lower concentration of people and vehicles. In this course, the student will learn how to employ hardware and software to apply sniffing techniques, and the management of detected data for the construction of origin/destination matrices. In addition, the sensed data will be sent to a Social IoT platform via Low Power Wide Area Networks using compatible LoRa modules.
REQUIREMENTS
There is no particular background required by the students.
INTERSECTION WITH OTHER COURSES AT THE UNIVERSITY OF CAGLIARI
There is no significant intersection with other courses offered in the PhD programme DRIEI and in the Master Degrees at UniCA.
COURSE OUTLINE
Topic 1: Wi-Fi standard (8 hours)
- Introduction
- Sniffing approaches
- Experimental test
Topic 2: Tracking modeling (8 hours)
- Tracking models
- Emerging modeling approaches
- Experimental test
Topic 3: Data transmission and management (4 hours)
- LoRa approaches
- Data management approaches