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EL2745 Principles of Wireless Sensor Networks 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus EL2745 (Spring 2013–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

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. 

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

Recommended prerequisites

EQ 1220 Signal Theory,  EL2520 Control Theory and Practice

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.