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

Institute of Technical Informatics (4480)

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	43-48
Journal	ACM SIGBED Review
Volume	8
Issue number	4
DOIs	https://doi.org/10.1145/2095256.2095262
Publication status	Published - 2011

Fields of Expertise

Information, Communication & Computing

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10.1145/2095256.2095262

Cite this

@article{0b9840bfc4534554ae675ad3f4f42281,

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",

year = "2011",

doi = "10.1145/2095256.2095262",

language = "English",

volume = "8",

pages = "43--48",

journal = "ACM SIGBED Review ",

issn = "1551-3688",

publisher = "Association of Computing Machinery",

number = "4",

}

TY - JOUR

T1 - Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

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

SN - 1551-3688

VL - 8

SP - 43

EP - 48

JO - ACM SIGBED Review

JF - ACM SIGBED Review

IS - 4

ER -

Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Fields of Expertise

Access to Document

Other files and links

Intelligent & Networked Embedded Systems

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

Cite this

Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Fields of Expertise

Access to Document

Other files and links

Projects

Intelligent & Networked Embedded Systems

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

Cite this