700.460 (15S) Sensor Networks
Overview
- Lecturer
- Course title german Sensor Networks
- Type Lecture - Colloquia (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 20 (50 max.)
- Organisational unit
- Language of instruction Englisch
- Course begins on 01.03.2015
- Remarks (english) Guideline for Exams: 1. Bring your Student ID to the exam 2. There are no documents and electronic devices allowed (laptop, mobile phones, etc.) allowed 3. Stamped paper will be handed out during the exam; no other paper is allowed to answer the questions. 4. All attending students will be graded. Receiving the exam is considered as attending. 5. Every exam is a single person examination; any cooperation with another person is not allowed. 6. Cheating during an exam will result in scoring no points for the questions answered up to the time.
- Seniorstudium Liberale Yes
Time and place
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Course Information
Course content
Diese LV wird auf Englisch abgehalten.Link to further information
https://nes.aau.at/?page_id=320Intended learning outcomes
to present and explain fundamentals of sensor networks to explain MAC and routing protocols dedicated for sensor networks to explain and present mechanisms for time synchronizationTeaching methodology including the use of eLearning tools
Lecture supplemented by a dedicated lab course. Presentation of selected topics by studentsCourse content
Due to the advances in electronics and (wireless) communication, the development of networks of low-cost, low-power, multi-functional sensors has received increasing attention. These sensor networks are a new type of networked, embedded computing systems and are expected to become a key technology for many pervasive computing applications. This lecture covers the fundamental concepts of sensor networks, including hard- and software architectures, networking aspects, power-awareness, security and sensor fusion. The lecture is complemented by student talks on selected, application-oriented topics. In an related lab course ("Pervasive Computing Lab"), students can get hands-on experience in developing sensor network applications. !!! Please note that an additional course unit will be held on March 11, 2014 from 08am - 10am in room L4.1.01 !!!Topics
- Introduction to Sensor Networks
- Sensor Fundamentals, Hardware Platforms, Power Supply
- Sensor Network OS and Middleware Systems, Programming Models and Abstractions
- Network Architectures
- MAC Protocols
- Routing Protocols
- Synchronization
- Sensor Fusion
- Web of Things
- Visual Sensor Networks
- Security and Privacy in Sensor Network
- Sensor Network Applications
Teaching objective
Knowledge of the fundamental concepts and applications of sensor networks.Prior knowledge expected
Completion of the lecture "Pervasive Computing" is recommendedLiterature
Slides and additional literature are provided via https://nes.aau.at/?page_id=320Link to further information
https://nes.aau.at/?page_id=320Examination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Examination topic(s)
Entire content of the course including students' talks.Assessment criteria / Standards of assessment for examinations
Presentation of selected topics during the lecture Written exam at the end of the semester.Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Major Field of Specialization (Pervasive Computing)
(Compulsory subject)
-
1.1-1.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
- 700.460 Sensor Networks (2.0h VK / 4.0 ECTS)
-
1.1-1.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Major Field of Specialization (Pervasive Computing)
(Compulsory subject)
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Additional Technical Module I
(Compulsory subject)
-
2.1-2.2 Lecture with Exercises or Lecture with Seminar (
4.0h VK/VS / 8.0 ECTS)
- 700.460 Sensor Networks (2.0h VK / 4.0 ECTS)
-
2.1-2.2 Lecture with Exercises or Lecture with Seminar (
4.0h VK/VS / 8.0 ECTS)
-
Subject: Additional Technical Module I
(Compulsory subject)
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Additional Technical Module II
(Compulsory subject)
-
3.1-3.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
- 700.460 Sensor Networks (2.0h VK / 4.0 ECTS)
-
3.1-3.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Additional Technical Module II
(Compulsory subject)
- Doctoral programme Doctoral programme in Interactive and Cognitive Environments (ICE)
(SKZ: 094, Version: 10W.1)
-
Subject: Fach 1 (§ 3 Abs. 3)
(Compulsory subject)
-
Lehrveranstaltungen gem. § 3 Abs. 3 (
0.0h XX / 20.0 ECTS)
- 700.460 Sensor Networks (2.0h VK / 5.0 ECTS)
-
Lehrveranstaltungen gem. § 3 Abs. 3 (
0.0h XX / 20.0 ECTS)
-
Subject: Fach 1 (§ 3 Abs. 3)
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2025
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2024
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2023
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2022
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2021
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2018
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2017
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 700.460 VC Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2014
- 700.460 VK Sensor Networks (2.0h / 4.0ECTS)
-
Sommersemester 2013
- 700.460 VK Sensor Networks (2.0h / 4.0ECTS)