Distributed Embedded Software and Networks, 4 credits (TDDI07)

Distribuerad inbyggd programvara och nätverk, 4 hp

Main field of study

Computer Science and Engineering Electrical Engineering

Level

First cycle

Course type

Programme course

Examiner

Mikael Asplund

Director of studies or equivalent

Ahmed Rezine

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus VOF
6IDAT Computer Engineering, B Sc in Engineering (Embedded Systems) 5 (Autumn 2017) 2 1 English Linköping o
6IELK Engineering Electronics (Embedded Systems) 5 (Autumn 2017) 2 1 English Linköping v
6IELK Engineering Electronics 5 (Autumn 2017) 2 1 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 2 1 English Linköping v
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 2 1 English Linköping v

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Computer Engineering, B Sc in Engineering
  • Engineering Electronics
  • Computer Science and Engineering, M Sc in Engineering
  • Information Technology, 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

Operating systems and introductory networks course.

Intended learning outcomes

After course completion the student should be able to:

• describe and explain applications and their societal impact as well as problems and solutions related to distributed embedded systems

• evaluate, analyse and compare methods for networking, resource management and distributed algorithms

• read and understand relevant scientific literature

• orally present and discuss complex technical solutions

• review and provide constructive feedback to peers

• use sensor networks platforms and tools and to implement and evaluate a small sensor network.

 

Course content

 

• Future generation networks: sensor networks, pervasive computing, mobility, internet of things, machine-to-machine communication

• Examples: Disaster management, surveillance, environmental protection, healthcare, transportation, home automation

• Energy management: factors causing energy consumption and optimisation techniques

• Networking: MAC protocols, broadcasting, data collection and routing

• Resource allocation: overload management, energy-aware protocols, bandwidth allocation

• Dependability: fault tolerance, redundancy, security

• Time synchronisation and positioning

• Sensor Networks platforms and tools (e.g. motes + tinyOS). Laboratory work consists of implementing a sensor network that tranfers/processes

the data measured by the sensors.

 

Teaching and working methods

Basic methods, algorithms and relevant examples are introduced in lectures.

Students read scientific papers, analyse some of them in written form, and review the work of their peers. The papers are also treated in seminars where students present and discuss their strenghts and weaknesses. Laboratory assignments aim to give implementation-related insights and facilitate experimentation with different solutions.

Examination

LAB1Laboratory workU, G1.5 credits
UPG1Written assignmentsU, 3, 4, 52.5 credits

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Mikael Asplund

Education components

Preliminary scheduled hours: 42 h
Recommended self-study hours: 65 h

Course literature

Additional literature

Books
Verdone, R., Mazzini, G., Dardari, D., & Conti, A, (2008) Wireless Sensor and Actuator Networks : technologies, analysis and design
Articles
Other
Aktuella vetenskapliga artiklar

Additional literature

Books

Verdone, R., Mazzini, G., Dardari, D., & Conti, A, (2008) Wireless Sensor and Actuator Networks : technologies, analysis and design

Articles

Other

Aktuella vetenskapliga artiklar
LAB1 Laboratory work U, G 1.5 credits
UPG1 Written assignments U, 3, 4, 5 2.5 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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