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Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks
Ref: HURRAY-TR-110801       Publication Date: 5, Jul, 2011

Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks

Ref: HURRAY-TR-110801       Publication Date: 5, Jul, 2011

Abstract:
Reliability of communications is key to expand application domains for sensor networks. Since Wireless 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.

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


the 10th International Workshop on Real-Time Networks (RTN 2011).
Porto, Portugal.



Record Date: 11, Aug, 2011

Other Versions:
Quantifying the Channel Quality for Interference-Aware Wireless Sensor Networks (Dec 1899)
ACM SIGBED Review - Special Issue on the 10th International Workshop on Real-time Networks (RTN 2011) (ACM SIGBED Rev)