Principles of Wireless Sensor Networks HT16

Wireless sensor networks (WSNs) are next step of the revolution that 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.

 

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

The following books are only for reference. The course's book will be distributed in pdf

• 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, grade scale: P, F
• INL2 - Assignment, 1.0, grade scale: P, F
• INL3 - Assignment, 1.0, grade scale: P, F
• TEN1 - Examination, 4.5, grade 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

EES/Automatic Control

Contact

Carlo Fischione

Examiner

Carlo Fischione <carlofi@kth.se>

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: Fall 16
Examination information valid from: Fall 16