EL2745 Principles of Wireless Sensor Networks 7.5 credits

Principer för trådlösa sensornätverk

Wireless sensor networks (WSNs) have the potential of dwarfing the revolution that the Internet has brought to the world of computing, entertainment, work, and human interaction by the creation of the Internet of Things. WSNs are networks of tiny, autonomous nodes equipped with wireless transmission and sensing capabilities for a huge variety of applications, such as healthcare, transportation systems, industrial manufacturing automation, and smart grids. 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 sensor.

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

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

Course Disposition

  • Introduction
  • WSN programming 
  • The wireless channel
  • Physical layer 
  • MAC, IEEE 802.15.4
  • Routing, RPL
  • Distributed detection
  • Distributed estimation
  • Localization and positioning
  • Time synchronization
  • WSN control 
  • Summary

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

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

Carlo Fischione

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web EL2745

Offered by

EECS/Intelligent Systems

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

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.

Supplementary information

The course has been replaced with EP2700 Principles of Wireless Sensor Networks, 7,5 hp.