Graduate School and Research Center in Digital Sciences

Mobile Advanced Networks

T Technical Teaching



This course is a research-oriented course on mobile networking (algorithm, protocol, and architectures) and is prepared to stimulate students' critical thinking and analysis. It presents both the single-hop and multi-hop wireless networks with particular focus on mesh, vehicular, delay-tolerant, and sensor networking.  


It covers mainly the candidate applications and the network layer by giving for each one of them the proposed protocols and techniques and standardization and research efforts.

Teaching and Learning Methods : Lectures, Homeworks (2-3), and a case study ( group of up 2-3 students). 

Course Policies : Case study optional, but recommanded



Basic knowledge in networking and wireless systems.


This course starts by presenting a brief introduction on graph-based network modelling followed by  broadcasting, (Geo-)routing, and multicasting techniques. Then different topology control algorithms and network clustering schemes are described. Impact of different mobility and traffic patterns on the performance of protocols are analyzed and compared. Finally, advanced topics such as cross-layer design, QoS support and node cooperation are discussed.

Case Study :

  • Pick an open research problem
  • Analyze the proposed solutiomm and try to improve by applying some of the techniques learnt during the course 
  • Evaluate the performance of the proposed approach 

Learning outcomes:

  • Develop critical analysis and thinkining in mobile networking reseach
  • Fundemental of mobile networking (broadcasting, routing, clustering, etc) and Advanced topics (QoS, Cross-layer, SDN, MEC, NFV)
  • Design and evaluate algorithms, protocol, and architecture for mobile networks

Nb hours: 21.00 hours + 3 hours for case study

Nb hours bi-weekly: 3.00

Grading Policy: best of

  • Homework (20%), Final Exam (50%), Case study (30%)
  • Homework (20%), Final Exam (80%)
Nb hours: 21.00
Prepare course:
Control form: Written + Case Study