Wireless Sensor Networks




 A Course to explore advanced and recent concepts and practices in the area of Wireless Sensor Networks.

 

Course Code:              CS-6505
Credit Hours:                       3

Pre-requisite:              
It is an advanced graduate level course. Students should have strong background of computer networks and networking protocols.

Target Audience:
MS/PhD students wishing to pursue research/thesis in the area of wireless sensor networks.

Synopsis:             

In this course, we are going to visit different research problems in Wireless Sensor Networks and will try to form a base for students, who wish to find research problems in this area.
In this course, we will discuss limitations and requirements of wireless sensor networks (WSNs) and wireless body area networks (WBANs). During the course, we will discuss significant research surveys, which highlight important research problems in this area. In addition to that, we will discuss research issues such as routing, MAC protocols and Security. In each session, we will discuss a research paper. By the end of this course, research students will be able to choose their area of interest within wireless sensor networks. For students, who wish to continue their research in this area, this course will be helpful for their literature review. For others, it will broaden their knowledge base of research.

 

Fig. 1 Remote Health Monitoring Using Wireless Body Area Networks             Figure 2 Wireless Sensor Networks

 

Instructor:

Dr. Syed Raazi (raazi@pafkiet.edu.pk) has done his PhD from Kyung Hee University, South Korea. His area of interest is security in wireless sensor networks and MAC protocols for wireless body area networks. He has three journal publications, a book chapter publication and around ten international conference publications. Apart from that, he has more than two years of corporate level experience in Pakistan and in South Korea.
 
Recommended Books:

Contents of this course will comprise of research material from high impact factor journal papers.