Internet of Things, 6 credits

Sakernas internet, 6 hp

TNK116

Course starting semester

Main field of study

Electrical Engineering Transportation Systems Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Vangelis Angelakis

Director of studies or equivalent

Erik Bergfeldt

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Available for exchange students

Yes

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CKTS	Communication and Transportation Engineering, M Sc in Engineering	8 (Spring 2019)	2	1	English	Norrköping, Norrköping	E
6CKTS	Communication and Transportation Engineering, M Sc in Engineering (Master Profile Smart Cities)	8 (Spring 2019)	2	1	English	Norrköping, Norrköping	C
6CIEN	Electronics Design Engineering, M Sc in Engineering	8 (Spring 2019)	2	1	English	Norrköping, Norrköping	E
6CIEN	Electronics Design Engineering, M Sc in Engineering (Wireless systems)	8 (Spring 2019)	2	1	English	Norrköping, Norrköping	E
6MTSL	Intelligent Transport Systems and Logistics, Master's Programme	2 (Spring 2019)	2	1	English	Norrköping, Norrköping	E

Main field of study

Electrical Engineering, Transportation Systems Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

Communication and Transportation Engineering, M Sc in Engineering
Master's Programme in Intelligent Transport Systems and Logistics
Electronics Design Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

The course labs and project will deal with IoT devices programming, thus programming/developing skills (especially in C/Java) are necessary.

Intended learning outcomes

After the course the student should be able to:

Discuss major machine-to-machine (M2M) communication characteristics and analyse them
Identify and analyse the requirements for network layer support for an Internet of Things (IoT) infrastructure
Design solutions for integrating smart objects into IoT frameworks
Design IoT architectures and services
Evaluate the performance of IoT systems based on identified key performance indicators

Course content

This course introduces the design principles of the Internet of Things (IoT), their device and infrastructure-related architectures, technologies and protocol frameworks towards enabling the formation of highly distributed and ubiquitous networks with seamlessly connected heterogeneous objects. The student will learn to design and analyze such networks and architectures to support the development of intelligent services, with different performance requirements, in a variety of application domains.

Specifically, students will be exposed to architectures and methodological paradigms for the Internet of Things, and protocols at the different levels of the IoT stack. They will also learn to map those concepts on an access layer (including sensor, vehicular and cellular networks for machine-to-machine communication) and network layer (with particular emphasis on IPv6-based solutions), and analyze their performance. The course will also introduce technologies and protocols at the service and application layers, which enable the integration of embedded devices in web-based, distributed applications.

Teaching and working methods

The course comprises lectures, programming assignments, and an implementation project.

Examination

LAB1	Laboratory Work	4 credits	U, 3, 4, 5
UPG1	Assignments	2 credits	U, 3, 4, 5

The final grade is weighted by the distribution of credits of the partial examinations.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Vangelis Angelakis

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Other

- Enabling Things to Talk, Designing IoT solutions with the IoT Architectural Reference Model, Springer, ISBN: 978-3-642-40403-0
- Designing the Internet of Things, Adrian McEwen, Hakim Cassimally, ISBN: 978-1-118-43062-0
- Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Vermesan, O. & Friess, P. Editors. ISBN: 8792982735
- The Internet of Things. Greengard, S. (2015) ISBN: 0262527731
- A list of recent/seminal research papers will also complement the course literature

Code	Name	Scope	Grading scale
LAB1	Laboratory Work	4 credits	U, 3, 4, 5
UPG1	Assignments	2 credits	U, 3, 4, 5

The final grade is weighted by the distribution of credits of the partial examinations.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Other

Enabling Things to Talk, Designing IoT solutions with the IoT Architectural Reference Model, Springer, ISBN: 978-3-642-40403-0
Designing the Internet of Things, Adrian McEwen, Hakim Cassimally, ISBN: 978-1-118-43062-0
Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Vermesan, O. & Friess, P. Editors. ISBN: 8792982735
The Internet of Things. Greengard, S. (2015) ISBN: 0262527731
A list of recent/seminal research papers will also complement the course literature

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules	Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)
	1.2 Fundamental engineering knowledge (G1X level)
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork
	3.2 Communications
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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