Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Claro Noda; Shashi Prabh; Mário Alves; Carlo Alberto Boano; Thiemo Voigt

doi:10.1145/2095256.2095262

Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Claro Noda, Shashi Prabh, Mário Alves, Carlo Alberto Boano, Thiemo Voigt

Institut für Technische Informatik (4480)

Publikation: Beitrag in einer Fachzeitschrift › Artikel › Begutachtung

Originalsprache	englisch
Seiten (von - bis)	43-48
Fachzeitschrift	ACM SIGBED Review
Jahrgang	8
Ausgabenummer	4
DOIs	https://doi.org/10.1145/2095256.2095262
Publikationsstatus	Veröffentlicht - 2011

Fields of Expertise

Information, Communication & Computing

Zugriff auf Dokument

10.1145/2095256.2095262

Andere Dateien und Links

http://dl.acm.org/citation.cfm?id=2095262

1 Abgeschlossen
1 Laufend

Intelligent & Networked Embedded Systems
Boano, C. A., Römer, K. U., Schuß, M., Cao, N., Saukh, O., Hofmann, R., Stocker, M., Schuh, M. P., Papst, F., Salomon, E., Brunner, H., Gallacher, M., Mohamed Hydher, M. H., Wang, D., Corti, F., Krisper, M., Basic, F. & Petrovic, K.
1/09/13 → …
Projekt: Arbeitsgebiet
EU - RELYonIT - Research by Experimentation for Dependability on the Internet of Things
Römer, K. U., Boano, C. A. & Oppermann, F. J.
1/09/13 → 31/01/15
Projekt: Forschungsprojekt

Dieses zitieren

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title = "Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks",

author = "Claro Noda and Shashi Prabh and M{\'a}rio Alves and Boano, {Carlo Alberto} and Thiemo Voigt",

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AU - Noda, Claro

AU - Prabh, Shashi

AU - Alves, Mário

AU - Boano, Carlo Alberto

AU - Voigt, Thiemo

PY - 2011

Y1 - 2011

UR - http://dl.acm.org/citation.cfm?id=2095262

U2 - 10.1145/2095256.2095262

DO - 10.1145/2095256.2095262

M3 - Article

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SP - 43

EP - 48

JO - ACM SIGBED Review

JF - ACM SIGBED Review

IS - 4

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Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Fields of Expertise

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Intelligent & Networked Embedded Systems

EU - RELYonIT - Research by Experimentation for Dependability on the Internet of Things

Dieses zitieren