Topology recognition in Wireless Sensor Networks

Daniela Krüger; Carsten Buschmann; Stefan Fischer

Topology recognition in Wireless Sensor Networks

Daniela Krüger, Carsten Buschmann, Stefan Fischer

Institut für Telematik

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.

Originalsprache	Englisch
Seiten	1-2
Seitenumfang	2
Publikationsstatus	Veröffentlicht - 01.06.2006
Veranstaltung	4th international conference on Mobile systems, applications and services - Uppsala, Schweden Dauer: 19.06.2006 → 22.06.2006

Tagung, Konferenz, Kongress

Tagung, Konferenz, Kongress	4th international conference on Mobile systems, applications and services
Land/Gebiet	Schweden
Ort	Uppsala
Zeitraum	19.06.06 → 22.06.06

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur
SDG 11 – Nachhaltige Städte und Gemeinschaften
SDG 12 – Verantwortungsvoller Konsum und Produktion

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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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AU - Krüger, Daniela

AU - Buschmann, Carsten

AU - Fischer, Stefan

PY - 2006/6/1

Y1 - 2006/6/1

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

Tagung, Konferenz, Kongress

UN SDGs

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