EL2745 Principles of Wireless Sensor Networks 7.5 credits
Principer för trådlösa sensornätverk
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 cycleSecond cycle
Main field of studyElectrical Engineering
Grading scaleA, B, C, D, E, FX, F
Last planned examination: spring 22.
Autumn 18 P1 (7.5 credits)
Language of instruction
Form of study
Number of places
P1: F2, G2, I2, J2. more info
Carlo Fischione <firstname.lastname@example.org>
Open for all master programs
Part of programme
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.
- 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
EL1000 or equivalent including documented proficiency in English corresponding to English B
EQ 1220 Signal Theory, EL2520 Control Theory and Practice
- 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
- 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
Carlo Fischione <email@example.com>
The course has been replaced with EP2700 Principles of Wireless Sensor Networks, 7,5 hp.
EL2450 Hybrid and Embedded Control Systems,
EL2730 Convex Optimization with Engineering Applications
EP2200 Queuing Theory and Teletraffic Systems,
Course syllabus valid from: Spring 2013.
Examination information valid from: Spring 2019.