Topology recognition in Wireless Sensor Networks

Daniela Krüger; Carsten Buschmann; Stefan Fischer

Topology recognition in Wireless Sensor Networks

Daniela Krüger, Carsten Buschmann, Stefan Fischer

Institute of Telematics

Abstract

Using self-organizing wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different parts of the network. We present an algorithm to derive this ordering without the use of location information. Local order knowledge in the nodes can then be additionally used to detect junctions.

Original language	English
Pages	1-2
Number of pages	2
Publication status	Published - 01.06.2006
Event	4th international conference on Mobile systems, applications and services - Uppsala, Sweden Duration: 19.06.2006 → 22.06.2006

Conference

Conference	4th international conference on Mobile systems, applications and services
Country/Territory	Sweden
City	Uppsala
Period	19.06.06 → 22.06.06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Topology recognition in Wireless Sensor Networks",

abstract = "Using self-organizing wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different parts of the network. We present an algorithm to derive this ordering without the use of location information. Local order knowledge in the nodes can then be additionally used to detect junctions.",

author = "Daniela Kr{\"u}ger and Carsten Buschmann and Stefan Fischer",

year = "2006",

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pages = "1--2",

note = "4th international conference on Mobile systems, applications and services ; Conference date: 19-06-2006 Through 22-06-2006",

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AU - Krüger, Daniela

AU - Buschmann, Carsten

AU - Fischer, Stefan

PY - 2006/6/1

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N2 - Using self-organizing wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different parts of the network. We present an algorithm to derive this ordering without the use of location information. Local order knowledge in the nodes can then be additionally used to detect junctions.

AB - Using self-organizing wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different parts of the network. We present an algorithm to derive this ordering without the use of location information. Local order knowledge in the nodes can then be additionally used to detect junctions.

UR - https://www.semanticscholar.org/paper/Topology-recognition-in-Wireless-Sensor-Networks-Kr%C3%BCger-Buschmann/a7858500b0cfd8fd7a5961bd5a4a6f29a9cbe9d9

M3 - Poster

SP - 1

EP - 2

T2 - 4th international conference on Mobile systems, applications and services

Y2 - 19 June 2006 through 22 June 2006

ER -

Topology recognition in Wireless Sensor Networks

Abstract

Conference

UN SDGs

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