The focus of the course is on distributed algorithms and protocols for WSNs. The course starts with an introduction on applications, hardware, and network architecture. Then the course presents iterative methods for distributed computation, and shows how these methods can be applied to the design of key aspects of the communication protocol stack and applications. The course also includes a lecture for programming sensors, which may be useful for experimental research projects.
EL2745 Principles of Wireless Sensor Networks 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2022
Decision to discontinue this course:
No information inserted
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus EL2745 (Spring 2013–)Headings with content from the Course syllabus EL2745 (Spring 2013–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The aim of this course is to provide the participants with a basic knowledge of wireless sensor networks (WSN)
After completing the course the student should
- Know the essential communication, control, optimization, and signal processing tools to cope with WSNs
- Know the design of practical WSNs
- Be able to develop a research project on WSNs
Literature and preparations
Specific prerequisites
EL1000 or equivalent including documented proficiency in English corresponding to English B
Equipment
No information inserted
Literature
- G. J. Pottie and W.J. Kaiser, “Principles of Embedded Networked Systems Design” Cambridge, 2005
- W. Dargie and C. Poellabauer, “Fundamentals of Wireless Sensor Networks”, Wiley, 2010
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- INL1 - Assignment, 1.0 credits, grading scale: P, F
- INL2 - Assignment, 1.0 credits, grading scale: P, F
- INL3 - Assignment, 1.0 credits, grading scale: P, F
- TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
The problems of the exam will contain theoretical parts.
Other requirements for final grade
4.5 points based on written exam and 3 points on homework assignments
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Electrical Engineering
Education cycle
Second cycle
Add-on studies
EL2450 Hybrid and Embedded Control Systems,
EL2730 Convex Optimization with Engineering Applications
EP2200 Queuing Theory and Teletraffic Systems,
Contact
Carlo Fischione
Supplementary information
The course has been replaced with EP2700 Principles of Wireless Sensor Networks, 7,5 hp.