Wireless Sensor Networks

Course Information and Objectives

This class surveys the field of wireless communications with a special focus on low-power embedded sensor networks. The course will begin with a survey of wireless communications standards and protocols. Then the course will place significant emphasis on wireless sensor networks. Topics covered include: Introduction to sensor networks, attributes of sensor networks, wired and wireless sensors, node and network architecture, bandwidth and energy constraints aware techniques for network discovery, network control and routing, collaborative information processing. This course is intended for graduate students at all levels. Only the students who have taken the Advanced Computer Networks are eligible to take this course.

Textbook and additional reference

  1. Protocols and Architectures for Wireless Sensor Networks, Holger Karl and Andreas Willig, Wiley, 2005

Additional good references:

  1. Wireless Sensor Networks - An Information Processing Approach, Zhao, Guibas, Morgan Kaufmann, 2004
  2. Wireless Sensor Networks, A Systems Perspective , Bulusu and Jha, Artech House, 2005
  3. Ad Hoc Wireless Networks, Architectures and Protocols, Murthy and Manoj Pearson/Prenticie Hall, 2004

 Zip file of all references (RAR)

Syllabus - Schedule

  • Introduction to Wireless Sensor Networks (WSNs).(PPT)
  • Applications of wireless sensor networks (PPT)
  • Network  architecture(PPT)
  • Hardware(PPT)
  • Physical layer(PPT)
  • Medium Access Control (MAC) layer(PPT)
  • Routing in WSNs(PPT)
  • Localization techniques.(PPT)
  • WSNs transport protocol and reliability(PPT)
  • Middleware(PPT)
  • Data aggregation techniques(PDF)
  • WSNs coverage(PPT)
  • Wireless Multimedia Sensor Networks (WMSNs)(PPT)

Project

Part of final grade of this course is assigned to your research projects.Students will read different papers and write short summaries of each paper. Students will undertake a significant research project. At the end of the term, students will present projects in class and prepare a written project report. Grading will be based on a weighted combination of class participation, paper summaries, the final project presentation, the project report and final exam.

Grading

  • Final exam :  65%
  • Project :  25%
  • Class participation and paper summaries:  10%