6 ECTS credits
168 h study time

Offer 1 with catalog number 4019139ENR for all students in the 2nd semester at a (E) Master - advanced level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Om een inschrijving te kunnen nemen voor 'Management & Performance Analysis of Sensor Noetworks', moet men ingeschreven of geslaagd zijn voor 'Telecommunicatie'.
Taught in
English
Faculty
Faculty of Engineering
Department
Industriële ingenieurswetenschappen
Educational team
Kris STEENHAUT (course titular)
Maite BEZUNARTEA PASCUAL
Activities and contact hours
24 contact hours Lecture
36 contact hours Seminar, Exercises or Practicals
Course Content

Lecture:

The lecture offers the students a background needed for the management and deployment of “The Internet of Things”. It introduces several aspects of network management such as performance, configuration and security management. Those aspects will be applied on a Wireless Sensor Network example.

  • Performance- analysis of networks by means of simulation, testbeds and real world trials
    • Modeling
    • Model implementation
    • Model exploitation
    • Model verification
    • Simulation versus testbed versus real world
  • Introduction To Wireless Sensor Networks
    • Physical layer
    • Medium Access Control (MAC) and Radio Duty Cycling (RDC)
    • Routing Layer (Routing for Low Power and Lossy Networks, RPL)
    • Application Layer (Constrained Application Protocol COAP)
  • Security
    • Introduction to Cryptography
    • Application of cryptographic principles in networks
    • Firewalls, digital signature, certificate, Virtual Private Networks (VPNs)

Practical Exercises:
In the practical exercise sessions students solve problems under supervision. The selected problems are a direct application of knowledge and concepts gained in the lectures.

During the lab sessions students set up a wireless sensor network and/or evaluate the performance of certain subparts of it.

 

 

Course material
Digital course material (Required) : Management and Performance analysis of (Sensor) Networks, K. Steenhaut, Canvas, 2017
Handbook (Recommended) : Computer Networks, (Chptr on Security), A. Tanenbaum, 5de, Prentice Hall, 9781292024226, 2013
Handbook (Recommended) : Computer Netwerking, Een top benadering (Chptr 8 and Chptr 9), J. Kurose and K. Ross, 6de, Pearson, 9789043026970, 2013
Handbook (Recommended) : Computer Networking, A top down approach (Chptr 8 and Chptr 9), J. Kurose and K. Ross, 7de, Pearson, 9781292153599, 2017
Additional info

Description tutoring: after class, by appointment or via e-mail.

Learning Outcomes

Objectives

D1: can manage a network of sensor nodes (MaLO 2, MaSLO ELO 1, 2, 3 NW)
D2: has insight in the principle of network security (MaLO 1, MaSLO ELO 3 NW)
D3: can test and analyse  the performance of (new) protocols by means of simulation, can design and evaluate new protocols  (MaLO 2, 3, 6, 7, 9, 14,  MaSLO ELO 3 NW )
D4: reports and presents in a scientific, concise and clear way in English (MaLO 14, 15)

AD1: reasons and acts in a structured and systematic manner (MaLO 3)
AD2: communicates in English in a comprehensible and structured manner (MaLO 14)
AD3: develops a professional attitude  (MaLO 11,14, 16)

 

Learning Outcomes

  • MaLO_1 To possess advanced application-specific knowledge, understanding and skills in the specialty with attention to the latest developments in technology.
  • MaLO_2 To possess advanced application-specific understanding of advanced theories and methods for the schematisation and modelling of processes and systems and their use in solving problems within the specialty.
  • MaLO_3 To independently integrate and deepen previously acquired knowledge with a view to the opportunities for innovating practical implementations, whilst being aware of the limits of one's own competencies.
  • MaLO_6 Starting from the acquired discipline-specific and interdisciplinary insights, to select, adapt or if necessary develop, and adequately apply advanced research, design and solution methods. To scientifically process the results, to motivate the adopted choices  based on application-oriented knowledge and the demands of the business context.
  • MaLO_7 To act from a research attitude: creativity, accuracy, critical reflection, curiosity, justify choices on the basis of solution-oriented arguments.
  • MaLO_9 To master system complexity using quantitative methods. To possess sufficient knowledge, insight and experience with the relevant real-life situation to be able to critically test results.
  • MaLO_11 To work on a project in a primarily subject-specific context: to set goals, to monitor the goals and progress of the project. To function as a member of an (inter- and multidisciplinary) team, to start to lead, to be a bridge between management and workplace, to operate in an international or intercultural environment.  To report effectively.
  • MaLO_14 To communicate orally and in writing about one's field in the language or languages relevant to the specialty.
  • MaLO_15 To present and communicate, both in language and graphics, information about the field to colleagues and laymen.
  • MaLO_16 To act in an ethically, professionally and socially responsible manner with attention to technical, economic, human and sustainability aspects.
  • MaSLO-ELO_1 To have advanced, application-oriented knowledge, understanding and skills in electronics - ICT, with attention to the latest developments.
  • MaSLO-ELO_2 To possess the scientific basis required for the analysis, modelling and design of electronic and/or IT systems.
  • MaSLO-ELO_3-NW To acquire depth in the field of electronics ICT: networks.

This course contributes to the following programme outcomes of the Master in Applied Computer Sciences:

MA_A: Knowledge oriented competence

1. The Master in Engineering Sciences has in-depth knowledge and understanding of exact sciences with the specificity of their application to engineering
2. The Master in Engineering Sciences has in-depth knowledge and understanding of integrated structural design methods in the framework of a global design strategy
3. The Master in Engineering Sciences has in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes
4. The Master in Engineering Sciences can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
5. The Master in Engineering Sciences can conceive, plan and execute a research project, based on an analysis of its objectives, existing knowledge and the relevant literature, with attention to innovation and valorization in industry and society
6. The Master in Engineering Sciences can correctly report on research or design results in the form of a technical report or in the form of a scientific paper
7. The Master in Engineering Sciences can present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience

MA_B:  Attitude

13. The Master in Engineering Sciences has a critical attitude towards one’s own results and those of others

MA_C:  Specific competence for the Master in Applied Computer Science

18. The Master in Applied Computer Sciences is able to design and use systems for efficient storage, access and distribution of digital information
20. The Master in Applied Computer Sciences is able to design (distributed) systems of systems and execute performance assessment of the designed product
22. The Master in Applied Computer Sciences has a thorough knowledge of hardware platforms, operating systems, firmware and their impact on smart systems of systems
23. The Master in Applied Computer Sciences is aware of data privacy and security aspects
25. The Master in Applied Computer Sciences has a profound knowledge of modeling and simulation of systems of systems including consideration for maintainability, reliability and adaptability
26. The Master in Applied Computer Sciences can apply his/her acquired knowledge and skills for designing smart city or digital health dedicated systems of systems.

 

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • Other Exam with a relative weight of 100 which comprises 100% of the final mark.

    Note: Exam time 1st session:
    Lecture: oral exam with written preparation: 50% (not transferred to 2nd session)
    Practical exercises:
    - report/preparations: 25% (transferred to 2nd session if 10/20 or more)
    - presentation, answering to questions: 25% (transferred to 2nd session if 10/20 or more)
    Exam time 2nd session:
    Lecture: oral exam with written preparation: 50%
    Practical exercises:
    - report/preparations: 25%
    - presentation, answering to questions: 25%

    Examenmoment 1ste zittijd:
    Hoorcollege: mondeling examen met schriftelijke voorbereiding: 50% (niet overgedragen naar 2de zittijd)
    Werkcollege:
    - verslag/voorbereiding: 25% (overgedragen naar 2de zittijd indien in totaal op werkcollege 10/20 of meer)
    - presentatie/antwoorden op vragen: 25% (overgedragen naar 2de zittijd indien in totaal op werkcollege 10/20 of meer)
    Examenmoment 2de zittijd:
    Hoorcollege: mondeling examen met schriftelijke voorbereiding: 50%
    Werkcollege:
    - verslag/voorbereiding: 25%
    - presentatie/antwoorden op vragen: 25%

Additional info regarding evaluation

Voor studenten Industriële Wetenschappen: de student heeft het recht het examen in het Nederlands af te leggen.

For students Industrial Sciences: the student has the right to take the exam in Dutch.

Een ongewettigde afwezigheid van meer dan 25 % op de oefeningensessies geeft aanleiding tot een weigering tot deelname aan het oefeningenexamen en geeft aanleiding tot een afwezigheidsscore voor het betreffende examen. De sanctie wordt overgedragen naar tweede zittijd.

An illegitimate absence of more than 25 % for the practical exercise sessions leads to a refusal to participate in the practical exercises exam. This leads to an absent quotation for the related exam. The sanctions taken in the first exam session are transferred to the second exam session.

Academic context

This offer is part of the following study plans:
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (only offered in Dutch)
Master in Applied Sciences and Engineering: Applied Computer Science: Standaard traject
Master of Electronics and ICT Engineering Technology: informatie - en communicatietechnieken met specialisatie netwerken (only offered in Dutch)