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#40304 / #3

SS 2015 - SS 2015

English

Ad-hoc and Sensor Networks

6

Wolisz, Adam

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Telekommunikationssysteme

34331200 FG Telekommunikationsnetze

No information

Kontakt


FT 5

Dressler, Falko

lehre@tkn.tu-berlin.de

Learning Outcomes

Students completing the module will gain the understanding of basic principles and technologies behind self-organizing wireless sensor networks, through a balanced combination of lectures and practical work with modern sensor node hardware. The module provides: 40% technical skills, 20% method skills, 30% system skills, and 10% social skills.

Content

Ad-hoc and Sensor Networks: Sensor networks differ from "traditional" wireless networks in several aspects, most importantly in their resource constrained nature. The sensor nodes are typically severely restricted in terms of memory, processing capacity and energy budget leading to the need for careful design of the node system software and protocol stack. These novel system solutions, driven by the specific nature of the sensor networks as a platform, are the focus of our interest in this course. Individual lecture units include: Introduction, application areas and system requirements; System architecture (node-level, network-level, software support); Protocol stack (physical layer, link layer, medium access control and routing); Services (addressing, topology control, time synchronization and localization). Sensor Networks Lab: The lab provides opportunity for gaining hands-on experience in working with state-of-the-art sensor networks hardware and software. Sensor nodes will be made available not only for in-class assignments but also for developing experiments at home. The lab consists of a "bootcamp" event and six additional sessions. In the "bootcamp" the TinyOS development toolchain is installed and tested with simple demo applications. The following lab sessions are devoted to particular aspects of sensor network hardware and software stack like sensing, actuation, IPv6-based networking, etc. The lab ends with group mini-project work. More information is available on the web page (see Recommended Reading, Lecture Notes).

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Ad-hoc and Sensor NetworksVL0432 L314WiSeNo information2
Sensor Networks LabPR0432 L344WiSeNo information2

Workload and Credit Points

Ad-hoc and Sensor Networks (VL):

Workload descriptionMultiplierHoursTotal
1. Presence15.02.0h30.0h
2. Preparation and follow-up1.040.0h40.0h
3. Exam Preparation1.020.0h20.0h
90.0h(~3 LP)

Sensor Networks Lab (PR):

Workload descriptionMultiplierHoursTotal
1. Presence15.02.0h30.0h
2. Preparation and follow-up1.040.0h40.0h
3. Exam Preparation1.020.0h20.0h
90.0h(~3 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

VL: classical lecture. PR: programming assignments; sensor node hardware is made available to the students (lent for the duration of the lab).

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

BSc module „Kommunikationsnetze” or similar knowledge is required. Knowledge of architecture and programming of embedded systems is of benefit.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

No information

Language

English

Test elements

NamePoints/WeightCategorieDuration/Extent
PR - sensor networks lab assignments20No informationNo information
PR - sensor networks lab group mini-project10No informationNo information
PR - written test covering sensor network lab20No informationNo information
VL - written test covering the lecture50No informationNo information

Grading scale

No information

Test description (Module completion)

In total 100 Portfolio points can be obtained. The final module grade will be given according to the §47 (2) AllgStuPO, using grade scheme (Notenschlüssel) 2 of Faculty IV. The individual grades will be obtained as specified in the table below.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 25.

Registration Procedures

Exam enrolment: Examination Office/QISPOS For more information, visit: http://www.tkn.tu-berlin.de/?106675

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
Lecture slides available at ISIS2 webpage.

 

Literature

Recommended literature
Dominique Paret, Multiplexed Networks for Embedded Systems: CAN, LIN, FlexRay, Safe by Wire, Wiley & Sons, Chichester, UK, 2007
Gregory Pottie and William Kaiser, Principles of Embedded Networked Systems Design, Cambridge University Press, Cambridge, 2005
Holger Karl and Andreas Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley, Chichester, 2005
Richard Zurawski, Embedded Systems Handbook, Second Edition: Networked Embedded Systems, CRC Press, 2009

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information