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Event

Information Processing in Sensor Networks [WS2124102]

Type

lecture (V)
Präsenz/Online gemischt

Term

WS 21/22

SWS

Language

Deutsch

Appointments

Links

https://isas.iar.kit.edu/de/IIS
ILIAS

Lecturers

Organisation

KIT-Fakultät für Informatik

Part of

Brick Information Processing in Sensor Networks | Information Systems (M.Sc.)

Literature

Weiterführende Literatur wird im Skript zur Vorlesung (siehe ILIAS) und in den Vorlesungsfolien genannt.

Appointments

19.10.2021 16:00 - 17:30 - Room: 50.34 Raum -102
25.10.2021 16:00 - 17:30 - Room: 50.20 Raum 148
26.10.2021 16:00 - 17:30 - Room: 50.34 Raum -102
02.11.2021 16:00 - 17:30 - Room: 50.34 Raum -102
08.11.2021 16:00 - 17:30 - Room: 50.20 Raum 148
09.11.2021 16:00 - 17:30 - Room: 50.34 Raum -102
15.11.2021 16:00 - 17:30 - Room: 50.20 Raum 148
16.11.2021 16:00 - 17:30 - Room: 50.34 Raum -102
22.11.2021 16:00 - 17:30 - Room: 50.20 Raum 148
23.11.2021 16:00 - 17:30 - Room: 50.34 Raum -102
29.11.2021 16:00 - 17:30 - Room: 50.20 Raum 148
30.11.2021 16:00 - 17:30 - Room: 50.34 Raum -102
06.12.2021 16:00 - 17:30 - Room: 50.20 Raum 148
07.12.2021 16:00 - 17:30 - Room: 50.34 Raum -102
13.12.2021 16:00 - 17:30 - Room: 50.20 Raum 148
14.12.2021 16:00 - 17:30 - Room: 50.34 Raum -102
20.12.2021 16:00 - 17:30 - Room: 50.20 Raum 148
21.12.2021 16:00 - 17:30 - Room: 50.34 Raum -102
10.01.2022 16:00 - 17:30 - Room: 50.20 Raum 148
11.01.2022 16:00 - 17:30 - Room: 50.34 Raum -102
17.01.2022 16:00 - 17:30 - Room: 50.20 Raum 148
18.01.2022 16:00 - 17:30 - Room: 50.34 Raum -102
24.01.2022 16:00 - 17:30 - Room: 50.20 Raum 148
25.01.2022 16:00 - 17:30 - Room: 50.34 Raum -102
31.01.2022 16:00 - 17:30 - Room: 50.20 Raum 148
01.02.2022 16:00 - 17:30 - Room: 50.34 Raum -102
07.02.2022 16:00 - 17:30 - Room: 50.20 Raum 148
08.02.2022 16:00 - 17:30 - Room: 50.34 Raum -102

Note

This lecture considers various relevant concepts of information processing in sensor networks. The focus is on approaches to process sensor data that consume little energy, which is essential for sensor networks.

The lecture starts with analog processing and analog-digital conversion of signals. Then, pattern recognition is considered. This is followed by approaches to reconstruct information on a wide-area phenomenon using distributed sensor nodes. Dynamic scenarios are also considered. The focus in this regard is on ways to aggregate information to minimize the energy consumption required for communication.

The goal of the lecture for students is to develop an understanding of the different stages and types of information processing in sensor networks. They learn to be able to analyze, compare, and assess different state-of-the-art approaches.