Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3752
Título: Quantifying the channel quality for interference-aware wireless sensor networks
Autor: Noda, Claro
Prabh, K. Shashi
Alves, Mário
Voigt, Thiemo
Boano, Carlo Alberto
Palavras-chave: Channel quality
Dynamic Resource Adaptation
Wireless sensor networks
Data: 2011
Editora: IPP-Hurray Group
Resumo: Reliability of communications is key to expand application domains for sensor networks. SinceWireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.
Peer review: no
URI: http://hdl.handle.net/10400.22/3752
Versão do Editor: http://www.cister.isep.ipp.pt/docs/
Aparece nas colecções:ISEP – CISTER – Relatórios

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