EL2745 Principles of Wireless Sensor Networks 7.5 credits

Principer för trådlösa sensornätverk

Please note

This course has been cancelled.

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.

  • Education cycle

    Second cycle
  • Main field of study

    Electrical Engineering
  • Grading scale

    A, B, C, D, E, FX, F

Last planned examination: spring 22.

Course offerings

Autumn 18 for programme students

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 main content

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. 

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

Eligibility

EL1000 or equivalent including documented proficiency in English corresponding to English B

Recommended prerequisites

EQ 1220 Signal Theory,  EL2520 Control Theory and Practice

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

  • INL1 - Assignment, 1.0, grading scale: P, F
  • INL2 - Assignment, 1.0, grading scale: P, F
  • INL3 - Assignment, 1.0, grading scale: P, F
  • TEN1 - Examination, 4.5, grading scale: A, B, C, D, E, FX, F

The problems of the exam will contain theoretical parts.

Requirements for final grade

4.5 points based on written exam and 3 points on homework assignments

Offered by

EECS/Intelligent Systems

Contact

Carlo Fischione

Examiner

Carlo Fischione <carlofi@kth.se>

Supplementary information

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

Add-on studies

EL2450 Hybrid and Embedded Control Systems,
EL2730 Convex Optimization with Engineering Applications
EP2200 Queuing Theory and Teletraffic Systems,

Version

Course syllabus valid from: Spring 2013.
Examination information valid from: Spring 2019.