COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Wireless Sensor Networks
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 605
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Problem Solving
Case Study
Q&A
Critical feedback
Lecturing / Presentation
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to teach the general principles that drive the research on wireless sensor networks, and the state of the art in information processing in wireless sensor networks. Wireless sensor networks become widely popular thanks to the recent advances in technology. Wireless sensor networks have many application areas ranging from habitat monitoring to civil engineering, security to transportation. Knowledge in the principle operations and applications of wireless sensor networks is a plus for graduate students of computer science.Topics include introduction and wireless sensor network applications, routing, localization, topology control, sensor networks databases, aggregation, and simulation.
Learning Outcomes The students who succeeded in this course;
  • will be able to recognize the application areas of the wireless sensor networks.
  • will be able to analyse the routing algorithms and the differences among the algorithms used in wireless sensor networks.
  • will be able to analyse the localization algorithms and the differences in the available algorithms used in wireless sensor networks.
  • will be able to analyse the topology control algorithms in wireless sensor networks.
  • will be able to analyse the aggregation algorithms and the motivation behind the aggregation.
Course Description This course covers the principals behind the information processing algorithms and their use in wireless sensor networks.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction
2 Localization
3 Localization
4 Localization
5 Localization
6 Topology control
7 Topology control
8 Midterm
9 Data aggregation algorithms
10 Data aggregation algorithms
11 Routing algorithms
12 Routing algorithms
13 Open problems and applications
14 Open problems and applications
15 Project Presentations
16 -
Course Notes/Textbooks Wireless Sensor Networks: An Information Processing Approach, Feng Zhao and Leonidas Guibas, Morgan Kaufmann, 2004. ISBN-10: 1558609148 Instructor notes and lecture slides.
Suggested Readings/Materials Material will be provided by the lecturer.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
6
90
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
40
Seminar / Workshop
Oral Exam
Midterms
1
22
Final Exams
1
25
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information.
2 Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations.
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. Knows and applies the research methods in studies of the area with a high level of skill.
4 Is informed about new and upcoming applications in the field and learns them whenever necessary.
5 Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. Can independently realize novel studies that bring innovation to the field, or methods, or design, or known methods.
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.
7 Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. Performs critical analysis, synthesis and evaluation of new and complex ideas.
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.
9 Engages in written and oral communication at least in Level C1 of the European Language Portfolio Global Scale.
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
11 Evaluates the results of scientific, technological and engineering research and development activities in terms of the social, environmental, health, safety and legal aspects. Examines social relations and norms related to the field, and develops and makes attempts to change them if necessary. Knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications. 
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest